Rob J Hyndman : Citation Profile


Are you Rob J Hyndman?

Monash University

18

H index

28

i10 index

1301

Citations

RESEARCH PRODUCTION:

56

Articles

83

Papers

EDITOR:

1

Series edited

RESEARCH ACTIVITY:

   26 years (1992 - 2018). See details.
   Cites by year: 50
   Journals where Rob J Hyndman has often published
   Relations with other researchers
   Recent citing documents: 208.    Total self citations: 78 (5.66 %)

EXPERT IN:

   Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
   Demographic Trends, Macroeconomic Effects, and Forecasts
   Semiparametric and Nonparametric Methods: General

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/phy3
   Updated: 2018-09-15    RAS profile: 2018-09-11    
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Relations with other researchers


Works with:

Athanasopoulos, George (9)

Vahid, Farshid (3)

Ben Taieb, Souhaib (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Rob J Hyndman.

Is cited by:

Shang, Han Lin (44)

Nikolopoulos, Konstantinos (25)

Weron, Rafał (23)

Snyder, Ralph (21)

Athanasopoulos, George (19)

Hong, Tao (17)

de Silva, Ashton (15)

King, Maxwell (14)

Zhang, Xibin (13)

Claveria, Oscar (11)

Ord, Keith (11)

Cites to:

Snyder, Ralph (82)

Ord, Keith (50)

Athanasopoulos, George (17)

Engle, Robert (15)

Shang, Han Lin (13)

Granger, Clive (12)

Franses, Philip Hans (11)

Harvey, Andrew (10)

Lee, Ronald (9)

Nikolopoulos, Konstantinos (9)

Diebold, Francis (8)

Main data


Where Rob J Hyndman has published?


Journals with more than one article published# docs
International Journal of Forecasting24
Computational Statistics & Data Analysis9
European Journal of Operational Research4
Foresight: The International Journal of Applied Forecasting4
Journal of the Operational Research Society2
Journal of Forecasting2
Demographic Research2

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics72

Recent works citing Rob J Hyndman (2018 and 2017)


YearTitle of citing document
2018A Parametric Factor Model of the Term Structure of Mortality. (2018). Haldrup, Niels. In: CREATES Research Papers. RePEc:aah:create:2018-06.

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2017Price Responsiveness in Electricity Markets: Implications for Demand Response in the Midwest. (2017). Smith, Timothy M ; Homans, Frances R. In: The Energy Journal. RePEc:aen:journl:ej38-1-eryilmaz.

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2017The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner. (2017). Elik, Ufuk ; Baarir, Aatay . In: Alphanumeric Journal. RePEc:anm:alpnmr:v:5:y:2017:i:1:p:45-54.

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2017“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201701.

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2017“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201706.

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2018“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201801.

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2018“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:201802.

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2017Empirical analysis of daily cash flow time series and its implications for forecasting. (2017). Salas-Molina, Francisco ; Martin, Francisco J ; Serra, Joan ; Rodr, Juan A. In: Papers. RePEc:arx:papers:1611.04941.

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2017Cohort effects in mortality modelling: a Bayesian state-space approach. (2017). Fung, Man Chung ; Shevchenko, Pavel V ; Peters, Gareth W. In: Papers. RePEc:arx:papers:1703.08282.

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2018Probabilistic Mid- and Long-Term Electricity Price Forecasting. (2018). Ziel, Florian ; Steinert, Rick . In: Papers. RePEc:arx:papers:1703.10806.

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2017Risk Constrained Trading Strategies for Stochastic Generation with a Single-Price Balancing Market. (2017). Browell, Jethro. In: Papers. RePEc:arx:papers:1708.02625.

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2018Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors. (2018). Kosiorowski, Daniel ; Rydlewski, Jerzy P ; Mielczarek, Dominik. In: Papers. RePEc:arx:papers:1710.02669.

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2017Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for Day and Night Air Pollution in Silesia Region: A Critical Overview. (2017). Kosiorowski, Daniel ; Rydlewski, Jerzy P ; Mielczarek, Dominik. In: Papers. RePEc:arx:papers:1712.03797.

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2017A nonparametric copula approach to conditional Value-at-Risk. (2017). Geenens, Gery ; Dunn, Richard . In: Papers. RePEc:arx:papers:1712.05527.

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2018Discovering Bayesian Market Views for Intelligent Asset Allocation. (2018). Xing, Frank Z ; Vercellis, Carlo ; Malandri, Lorenzo ; Cambria, Erik. In: Papers. RePEc:arx:papers:1802.09911.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Papers. RePEc:arx:papers:1805.06649.

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2018State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models. (2018). Uzeda, Luis. In: Staff Working Papers. RePEc:bca:bocawp:18-14.

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2018On the Evolution of the United Kingdom Price Distributions. (2018). Kryvtsov, Oleksiy ; Jacho-Chávez, David ; Huynh, Kim ; Chu, Ba ; Jacho-Chavez, David T ; Ba M. Chu, . In: Staff Working Papers. RePEc:bca:bocawp:18-25.

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2017Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected via measurement error. (2017). Gross, Marcus ; Tzavidis, Nikos ; Schmon, Sebastian ; Schmid, Timo ; Rendtel, Ulrich. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:180:y:2017:i:1:p:161-183.

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2017Modelling function-valued stochastic processes, with applications to fertility dynamics. (2017). Delicado, Pedro ; Muller, Hans-Georg ; Chen, Kehui . In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:79:y:2017:i:1:p:177-196.

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2017Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data. (2017). Foreman, Kyle J ; Ezzati, Majid ; Best, Nicky ; Li, Guangquan . In: Journal of the Royal Statistical Society Series C. RePEc:bla:jorssc:v:66:y:2017:i:1:p:121-139.

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2017Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference. (2017). Milidonis, Andreas ; Lin, Yijia ; Biffis, Enrico ; Morales, Marco ; Blake, David. In: Journal of Risk & Insurance. RePEc:bla:jrinsu:v:84:y:2017:i:s1:p:515-532.

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2018Energy Consumption in the French Residential Sector: How Much Do Individual Preferences Matter?. (2018). CHARLIER, Dorothée ; Bakaloglou, Salome. In: Working Papers. RePEc:cec:wpaper:1803.

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2018FACTORS DECREASING HOUSEHOLD ELECTRICITY DEMAND – A QUALITATIVE APPROACH. (2018). Zait, Adriana ; Elbaz, Shimon. In: SEA - Practical Application of Science. RePEc:cmj:seapas:y:2018:i:16:p:59-67.

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2017Electricity prices forecasting by averaging dynamic factor models. (2017). Alonso, Andres Modesto ; Garcia-Martos, Carolina ; Bastos, Guadalupe . In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:24028.

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2017Prediction Bands for Functional Data Based on Depth Measures. (2017). Fernandez, Antonio Elias ; Jimenez, Raul Jose . In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:24606.

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201722 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis. (2017). Espasa, Antoni ; Terrades, Antoni Espasa ; Senra, Eva . In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:24678.

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2017Coherent forecasts of mortality with compositional data analysis. (2017). Bergeron-Boucher, Marie-Pier ; Vaupel, James W ; Oeppen, Jim ; Canudas-Romo, Vladimir. In: Demographic Research. RePEc:dem:demres:v:37:y:2017:i:17.

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2017Forecasting the distributions of hourly electricity spot prices. (2017). Pape, Christian ; Weber, Christoph ; Woll, Oliver ; Vogler, Arne . In: EWL Working Papers. RePEc:dui:wpaper:1705.

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2017Forecasting accuracy evaluation of tourist arrivals. (2017). GUPTA, RANGAN ; Filis, George ; Antonakakis, Nikolaos ; Silva, Emmanuel Sirimal ; Hassani, Hossein. In: Annals of Tourism Research. RePEc:eee:anture:v:63:y:2017:i:c:p:112-127.

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2017Assessing thermal comfort and energy efficiency in buildings by statistical quality control for autocorrelated data. (2017). Barbeito, Ines ; Naya, Salvador ; Tarrio-Saavedra, Javier ; Zaragoza, Sonia . In: Applied Energy. RePEc:eee:appene:v:190:y:2017:i:c:p:1-17.

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2017Spatial variability of tight oil well productivity and the impact of technology. (2017). Montgomery, J B ; Osullivan, F M. In: Applied Energy. RePEc:eee:appene:v:195:y:2017:i:c:p:344-355.

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2017A communitarian microgrid storage planning system inside the scope of a smart city. (2017). Coelho, Vitor N ; Guimares, Frederico G ; Ochi, Luis S ; Santos, Haroldo G ; de Freitas, Alan ; Pereira, Leo ; Barbosa, Alexandre C ; de Oliveira, Glauber C. In: Applied Energy. RePEc:eee:appene:v:201:y:2017:i:c:p:371-381.

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2017Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production. (2017). Adinolfi, G ; Graditi, G ; Ferlito, S. In: Applied Energy. RePEc:eee:appene:v:205:y:2017:i:c:p:116-129.

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2018On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages. (2018). Appino, Riccardo Remo ; Hagenmeyer, Veit ; Faulwasser, Timm ; Mikut, Ralf ; Gonzalez, Jorge Angel. In: Applied Energy. RePEc:eee:appene:v:210:y:2018:i:c:p:1207-1218.

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2018Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian Processes. (2018). van der Meer, D W ; Munkhammar, J ; Widen, J ; Svensson, A ; Shepero, M. In: Applied Energy. RePEc:eee:appene:v:213:y:2018:i:c:p:195-207.

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2018Power load probability density forecasting using Gaussian process quantile regression. (2018). Yang, Yandong ; Qu, Meijun ; Li, Wenqi. In: Applied Energy. RePEc:eee:appene:v:213:y:2018:i:c:p:499-509.

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2018Oil projections in retrospect: Revisions, accuracy and current uncertainty. (2018). Wachtmeister, Henrik ; Hook, Mikael ; Henke, Petter. In: Applied Energy. RePEc:eee:appene:v:220:y:2018:i:c:p:138-153.

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2018Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem. (2018). Lebotsa, Moshoko Emily ; Boylan, John E ; Fildes, Robert ; Bere, Alphonce ; Sigauke, Caston . In: Applied Energy. RePEc:eee:appene:v:222:y:2018:i:c:p:104-118.

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2017Depth-based nonparametric description of functional data, with emphasis on use of spatial depth. (2017). Serfling, Robert ; Wijesuriya, Uditha . In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:105:y:2017:i:c:p:24-45.

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2017A quantitative comparison of stochastic mortality models on Italian population data. (2017). Carfora, M F ; Orlando, A ; Cutillo, L. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:112:y:2017:i:c:p:198-214.

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2017Robust estimators under a functional common principal components model. (2017). Bali, Juan Lucas ; Boente, Graciela. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:113:y:2017:i:c:p:424-440.

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2018Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. (2018). Perrin, G ; Ouhbi, N ; Soize, C. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:119:y:2018:i:c:p:139-154.

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2017Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model. (2017). Bao, Yukun ; Xiong, Tao ; Li, Chongguang . In: Economic Modelling. RePEc:eee:ecmode:v:60:y:2017:i:c:p:11-23.

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2017An adaptive approach to forecasting three key macroeconomic variables for transitional China. (2017). Niu, Linlin ; Chen, Ying ; Xu, Xiu . In: Economic Modelling. RePEc:eee:ecmode:v:66:y:2017:i:c:p:201-213.

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2018Do Mature Economies Grow Exponentially?. (2018). Lange, Steffen ; Kopp, Thomas ; Putz, Peter. In: Ecological Economics. RePEc:eee:ecolec:v:147:y:2018:i:c:p:123-133.

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2017Smoothed kernel conditional density estimation. (2017). Wu, Ximing ; Wen, Kuangyu . In: Economics Letters. RePEc:eee:ecolet:v:152:y:2017:i:c:p:112-116.

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2017Application of wavelet decomposition in time-series forecasting. (2017). Yazgan, Ege ; Genay, Ramazan ; Zhang, Keyi . In: Economics Letters. RePEc:eee:ecolet:v:158:y:2017:i:c:p:41-46.

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2017A simple consistent test of conditional symmetry in symmetrically trimmed tobit models. (2017). Chen, Tao ; Tripathi, Gautam . In: Journal of Econometrics. RePEc:eee:econom:v:198:y:2017:i:1:p:29-40.

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2017Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration. (2017). Shang, Han Lin . In: Econometrics and Statistics. RePEc:eee:ecosta:v:1:y:2017:i:c:p:184-200.

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2017Exploiting elapsed time for managing intermittent demand for spare parts. (2017). , Clint ; van der Laan, Erwin A ; van Dalen, Jan . In: European Journal of Operational Research. RePEc:eee:ejores:v:258:y:2017:i:3:p:958-969.

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2017A retail store SKU promotions optimization model for category multi-period profit maximization. (2017). Ma, Shaohui ; Fildes, Robert. In: European Journal of Operational Research. RePEc:eee:ejores:v:260:y:2017:i:2:p:680-692.

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2017Integrated hierarchical forecasting. (2017). , Clint ; van Dalen, Jan . In: European Journal of Operational Research. RePEc:eee:ejores:v:263:y:2017:i:2:p:412-418.

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2018Tactical sales forecasting using a very large set of macroeconomic indicators. (2018). Aghezzaf, El-Houssaine ; Desmet, Bram ; Sagaert, Yves R ; Kourentzes, Nikolaos. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:2:p:558-569.

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2018The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. (2018). Kourentzes, Nikolaos ; Barrow, Devon. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:3:p:967-977.

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2018Rule-based autoregressive moving average models for forecasting load on special days: A case study for France. (2018). Arora, Siddharth ; Taylor, James W. In: European Journal of Operational Research. RePEc:eee:ejores:v:266:y:2018:i:1:p:259-268.

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2018OR in spare parts management: A review. (2018). Hu, Qiwei ; Labib, Ashraf ; Chen, Huijing ; Boylan, John E. In: European Journal of Operational Research. RePEc:eee:ejores:v:266:y:2018:i:2:p:395-414.

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2018A greedy aggregation–decomposition method for intermittent demand forecasting in fashion retailing. (2018). Li, Chongshou ; Lim, Andrew. In: European Journal of Operational Research. RePEc:eee:ejores:v:269:y:2018:i:3:p:860-869.

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2017The long-run price sensitivity dynamics of industrial and residential electricity demand: The impact of deregulating electricity prices. (2017). ADOM, PHILIP. In: Energy Economics. RePEc:eee:eneeco:v:62:y:2017:i:c:p:43-60.

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2017Composite forecasting approach, application for next-day electricity price forecasting. (2017). Mirakyan, Atom ; Koch, Andreas ; Meyer-Renschhausen, Martin . In: Energy Economics. RePEc:eee:eneeco:v:66:y:2017:i:c:p:228-237.

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2017Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and wind. (2017). Ghaith, Ahmad F ; Epplin, Francis M. In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:159-168.

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2017Forecasting quantiles of day-ahead electricity load. (2017). Clements, Adam ; Li, Z ; Hurn, A S. In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:60-71.

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2017Influential factors in crude oil price forecasting. (2017). Miao, Hong ; Yang, Dongxiao ; Wang, Tianyang ; Ramchander, Sanjay. In: Energy Economics. RePEc:eee:eneeco:v:68:y:2017:i:c:p:77-88.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:70:y:2018:i:c:p:396-420.

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2017Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?. (2017). Wang, Nan ; Mogi, Gento. In: Energy Policy. RePEc:eee:enepol:v:106:y:2017:i:c:p:233-243.

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2017Assessing the impact of solar PV on domestic electricity consumption: Exploring the prospect of rebound effects. (2017). Deng, Gary ; Newton, Peter. In: Energy Policy. RePEc:eee:enepol:v:110:y:2017:i:c:p:313-324.

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2017Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand. (2017). Bere, Alphonce ; Sigauke, Caston . In: Energy. RePEc:eee:energy:v:119:y:2017:i:c:p:152-166.

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2017Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies. (2017). Voyant, Cyril ; Nivet, Marie-Laure ; Paoli, Christophe ; Notton, Gilles ; Fouilloy, Alexis ; Motte, Fabrice. In: Energy. RePEc:eee:energy:v:120:y:2017:i:c:p:199-208.

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2017Estimating transportation energy demand in Turkey using the artificial bee colony algorithm. (2017). SONMEZ, Mustafa ; Bekta, Salih ; Akgungor, Ali Payidar . In: Energy. RePEc:eee:energy:v:122:y:2017:i:c:p:301-310.

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2017Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case. (2017). Voyant, Cyril ; Motte, Fabrice ; Fouilloy, Alexis ; Darras, Christophe ; Notton, Gilles. In: Energy. RePEc:eee:energy:v:125:y:2017:i:c:p:248-257.

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2017Dynamic optimization of natural gas networks under customer demand uncertainties. (2017). Behrooz, Hesam Ahmadian ; Boozarjomehry, Bozorgmehry R. In: Energy. RePEc:eee:energy:v:134:y:2017:i:c:p:968-983.

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2017A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting. (2017). Schmid, Wolfgang ; Ambach, Daniel . In: Energy. RePEc:eee:energy:v:135:y:2017:i:c:p:833-850.

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2017A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods. (2017). The, Jesse ; Yu, Hesheng . In: Energy. RePEc:eee:energy:v:138:y:2017:i:c:p:257-289.

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2018A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil. (2018). , Felipe ; Calili, Rodrigo F ; Lourenco, Plutarcho M ; Cyrino, Fernando L ; Souza, Reinaldo C. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:1107-1118.

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2018Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation. (2018). Jurasz, Jakub ; Janowski, Mirosaw ; Ciapaa, Bartomiej ; Krzywda, Magdalena ; Mikulik, Jerzy. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:549-563.

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2018Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods. (2018). de Oliveira, Erick Meira ; Cyrino, Fernando Luiz . In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:776-788.

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2018Forecasting spikes in electricity return innovations. (2018). Tafakori, Laleh ; Fard, Farzad Alavi ; Pourkhanali, Armin. In: Energy. RePEc:eee:energy:v:150:y:2018:i:c:p:508-526.

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2018Innovative hybrid models for forecasting time series applied in wind generation based on the combination of time series models with artificial neural networks. (2018). Do, Henrique ; von Glehn, Daniel ; Marques, Paulo Cesar ; Verosa, Joo Bosco ; Lucio, Paulo Sergio. In: Energy. RePEc:eee:energy:v:151:y:2018:i:c:p:347-357.

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2018Forecasting Chinas total energy demand and its structure using ADL-MIDAS model. (2018). Lin, Boqiang ; He, Yongda. In: Energy. RePEc:eee:energy:v:151:y:2018:i:c:p:420-429.

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2018Water source heat pump energy demand prognosticate using disparate data-mining based approaches. (2018). Ahmad, Tanveer ; Shair, Jan ; Chen, Huanxin. In: Energy. RePEc:eee:energy:v:152:y:2018:i:c:p:788-803.

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2018Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China. (2018). Wang, Lin ; Zeng, Yu-Rong ; Lv, Sheng-Xiang. In: Energy. RePEc:eee:energy:v:155:y:2018:i:c:p:1013-1031.

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2017Grouped multivariate and functional time series forecasting:An application to annuity pricing. (2017). Shang, Han Lin ; Haberman, Steven . In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:75:y:2017:i:c:p:166-179.

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2017Semi-parametric extensions of the Cairns–Blake–Dowd model: A one-dimensional kernel smoothing approach. (2017). Li, Han ; OHare, Colin . In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:77:y:2017:i:c:p:166-176.

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2018Longevity risk and capital markets: The 2015–16 update. (2018). Blake, David ; MacMinn, Richard ; Loisel, Stephane ; el Karoui, Nicole. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:78:y:2018:i:c:p:157-173.

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2018Cause-of-death mortality: What can be learned from population dynamics?. (2018). Boumezoued, Alexandre ; Arnold, Severine ; el Karoui, Nicole ; Hardy, Heloise Labit. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:78:y:2018:i:c:p:301-315.

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2018The double-gap life expectancy forecasting model. (2018). Pascariu, Marius D ; Vaupel, James W ; Canudas-Romo, Vladimir. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:78:y:2018:i:c:p:339-350.

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2018Mortality models and longevity risk for small populations. (2018). Wang, Hsin-Chung ; Chong, Chen-Tai ; Yue, Ching-Syang Jack. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:78:y:2018:i:c:p:351-359.

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2018Identifiability, cointegration and the gravity model. (2018). Hunt, Andrew ; Blake, David. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:78:y:2018:i:c:p:360-368.

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2018De-risking strategy: Longevity spread buy-in. (2018). Damato, Valeria ; Sibillo, Marilena ; Sagoo, Pretty ; Haberman, Steven ; di Lorenzo, Emilia. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:79:y:2018:i:c:p:124-136.

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2017Forecasting European interest rates in times of financial crisis – What insights do we get from international survey forecasts?. (2017). Wegener, Christoph ; Kunze, Frederik ; Spiwoks, Markus ; Bizer, Kilian. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:48:y:2017:i:c:p:192-205.

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2017The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?. (2017). Soon, Siew-Voon ; Baharumshah, Ahmad Zubaidi ; Mohamad, Nurul Sima . In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:50:y:2017:i:c:p:36-51.

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2017Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application. (2017). Poskitt, Donald ; Rahman, Atikur M. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:199-213.

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2017Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting. (2017). Dennerlein, Jack T ; Alvarado-Valencia, Jorge ; Barrero, Lope H ; Onkal, Dilek. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:298-313.

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2017A mixed frequency approach to the forecasting of private consumption with ATM/POS data. (2017). Rua, António ; Rodrigues, Paulo ; Duarte, Cláudia. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:61-75.

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2017Empowering cash managers to achieve cost savings by improving predictive accuracy. (2017). Salas-Molina, Francisco ; Ll, Josep ; Serra, Joan ; Rodriguez-Aguilar, Juan A ; Martin, Francisco J. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:2:p:403-415.

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2017Forecasting compositional time series: A state space approach. (2017). Snyder, Ralph ; Ord, Keith ; McLaren, Keith ; Beaumont, Adrian N ; Koehler, Anne B. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:2:p:502-512.

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2017Predicting recessions with boosted regression trees. (2017). Pierdzioch, Christian ; Fritsche, Ulrich ; Dopke, Jorg. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:745-759.

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2018Using past contribution patterns to forecast fundraising outcomes in crowdfunding. (2018). Jank, Wolfgang ; Fan-Osuala, Onochie ; Zantedeschi, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:1:p:30-44.

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2018Benchmarking robustness of load forecasting models under data integrity attacks. (2018). Hong, Tao ; Luo, Jian ; Fang, Shu-Cherng. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:1:p:89-104.

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2018Probabilistic forecasting of industrial electricity load with regime switching behavior. (2018). Müller, Alfred ; Berk, K ; Muller, A ; Hoffmann, A. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:2:p:147-162.

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2018Forecasting from time series subject to sporadic perturbations: Effectiveness of different types of forecasting support. (2018). de Baets, Shari ; Harvey, Nigel. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:2:p:163-180.

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More than 100 citations found, this list is not complete...

Rob J Hyndman is editor of


Journal
International Journal of Forecasting

Works by Rob J Hyndman:


YearTitleTypeCited
2011Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models In: Working Papers.
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2011Coherent mortality forecasting: the product-ratio method with functional time series models.(2011) In: Monash Econometrics and Business Statistics Working Papers.
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2013Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models.(2013) In: Demography.
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2006Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions In: Demographic Research.
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2006Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2011Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods In: Demographic Research.
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article18
2004Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC In: Econometric Society 2004 Australasian Meetings.
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paper4
2004Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC.(2004) In: Monash Econometrics and Business Statistics Working Papers.
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2018A note on the validity of cross-validation for evaluating autoregressive time series prediction In: Computational Statistics & Data Analysis.
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article1
1998Smoothing non-Gaussian time series with autoregressive structure In: Computational Statistics & Data Analysis.
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2001Bandwidth selection for kernel conditional density estimation In: Computational Statistics & Data Analysis.
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article39
1998Bandwidth Selection for Kernel Conditional Density Estimation..(1998) In: Monash Econometrics and Business Statistics Working Papers.
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2006A Bayesian approach to bandwidth selection for multivariate kernel density estimation In: Computational Statistics & Data Analysis.
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article36
2007Robust forecasting of mortality and fertility rates: A functional data approach In: Computational Statistics & Data Analysis.
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article74
2005Robust forecasting of mortality and fertility rates: a functional data approach.(2005) In: Monash Econometrics and Business Statistics Working Papers.
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2007Half-life estimation based on the bias-corrected bootstrap: A highest density region approach In: Computational Statistics & Data Analysis.
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2006Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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2011Improved interval estimation of long run response from a dynamic linear model: A highest density region approach In: Computational Statistics & Data Analysis.
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article3
2010Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach.(2010) In: Working Papers.
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paper
2010Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach.(2010) In: Working Papers.
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2011Optimal combination forecasts for hierarchical time series In: Computational Statistics & Data Analysis.
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article28
2007Optimal combination forecasts for hierarchical time series.(2007) In: Monash Econometrics and Business Statistics Working Papers.
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2016Fast computation of reconciled forecasts for hierarchical and grouped time series In: Computational Statistics & Data Analysis.
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2014Fast computation of reconciled forecasts for hierarchical and grouped time series.(2014) In: Monash Econometrics and Business Statistics Working Papers.
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2009A multivariate innovations state space Beveridge-Nelson decomposition In: Economic Modelling.
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2004Exponential smoothing models: Means and variances for lead-time demand In: European Journal of Operational Research.
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article3
2008Forecasting time series with multiple seasonal patterns In: European Journal of Operational Research.
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article26
2017Forecasting with temporal hierarchies In: European Journal of Operational Research.
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article3
2015Forecasting with Temporal Hierarchies.(2015) In: Monash Econometrics and Business Statistics Working Papers.
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2015Forecasting with Temporal Hierarchies.(2015) In: MPRA Paper.
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2018Exploring the sources of uncertainty: Why does bagging for time series forecasting work? In: European Journal of Operational Research.
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2011The price elasticity of electricity demand in South Australia In: Energy Policy.
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2010The price elasticity of electricity demand in South Australia.(2010) In: Monash Econometrics and Business Statistics Working Papers.
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2002A state space framework for automatic forecasting using exponential smoothing methods In: International Journal of Forecasting.
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2000A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods..(2000) In: Monash Econometrics and Business Statistics Working Papers.
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2003Unmasking the Theta method In: International Journal of Forecasting.
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article14
2001Unmasking the Theta Method..(2001) In: Monash Econometrics and Business Statistics Working Papers.
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2004The interaction between trend and seasonality In: International Journal of Forecasting.
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article0
2005Editorial In: International Journal of Forecasting.
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article0
2006Twenty-five years of forecasting In: International Journal of Forecasting.
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article0
200625 years of time series forecasting In: International Journal of Forecasting.
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article84
2006Another look at measures of forecast accuracy In: International Journal of Forecasting.
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article196
2005Another Look at Measures of Forecast Accuracy.(2005) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2008Stochastic population forecasts using functional data models for mortality, fertility and migration In: International Journal of Forecasting.
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article29
2006Stochastic population forecasts using functional data models for mortality, fertility and migration.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2008Call for Papers: Special issue of the International Journal of Forecasting on tourism forecasting In: International Journal of Forecasting.
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2009A change of editors In: International Journal of Forecasting.
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2009Hierarchical forecasts for Australian domestic tourism In: International Journal of Forecasting.
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article24
2007Hierarchical forecasts for Australian domestic tourism.(2007) In: Monash Econometrics and Business Statistics Working Papers.
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2009Monitoring processes with changing variances In: International Journal of Forecasting.
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2008Monitoring Processes with Changing Variances.(2008) In: Monash Econometrics and Business Statistics Working Papers.
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2010Changing of the guard In: International Journal of Forecasting.
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2010Encouraging replication and reproducible research In: International Journal of Forecasting.
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2011The tourism forecasting competition In: International Journal of Forecasting.
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article35
2011The tourism forecasting competition.(2011) In: International Journal of Forecasting.
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2009The tourism forecasting competition.(2009) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2011The value of feedback in forecasting competitions In: International Journal of Forecasting.
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article4
2011The value of feedback in forecasting competitions.(2011) In: International Journal of Forecasting.
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article
2011The value of feedback in forecasting competitions.(2011) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2011Tourism forecasting: An introduction In: International Journal of Forecasting.
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article2
2014A gradient boosting approach to the Kaggle load forecasting competition In: International Journal of Forecasting.
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article14
2016Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation In: International Journal of Forecasting.
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article7
2014Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation.(2014) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond In: International Journal of Forecasting.
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article50
2017Visualising forecasting algorithm performance using time series instance spaces In: International Journal of Forecasting.
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article0
2016Visualising forecasting Algorithm Performance using Time Series Instance Spaces.(2016) In: Monash Econometrics and Business Statistics Working Papers.
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paper
1992On continuous-time threshold autoregression In: International Journal of Forecasting.
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article6
2011Nonparametric time series forecasting with dynamic updating In: Mathematics and Computers in Simulation (MATCOM).
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article5
2009Nonparametric time series forecasting with dynamic updating.(2009) In: Monash Econometrics and Business Statistics Working Papers.
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2003Improved methods for bandwidth selection when estimating ROC curves In: Statistics & Probability Letters.
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article6
2017The Australian Macro Database: An online resource for macroeconomic research in Australia In: CAMA Working Papers.
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paper0
2017The Australian Macro Database: An online resource for macroeconomic research in Australia.(2017) In: Monash Econometrics and Business Statistics Working Papers.
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2002Nonparametric estimation and symmetry tests for conditional density functions In: LSE Research Online Documents on Economics.
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1998Nonparametric Estimation and Symmetry Tests for Conditional Density Functions..(1998) In: Monash Econometrics and Business Statistics Working Papers.
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2006Another Look at Forecast Accuracy Metrics for Intermittent Demand In: Foresight: The International Journal of Applied Forecasting.
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article18
2007Minimum Sample Size requirements for Seasonal Forecasting Models In: Foresight: The International Journal of Applied Forecasting.
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article5
2010Free Open-Source Forecasting Using R In: Foresight: The International Journal of Applied Forecasting.
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2014Optimally Reconciling Forecasts in a Hierarchy In: Foresight: The International Journal of Applied Forecasting.
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article2
2008Exponential smoothing and non-negative data In: Working Papers.
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paper5
2002Using R to teach econometrics In: Journal of Applied Econometrics.
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article12
2001Using R to Teach Econometrics..(2001) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2005Prediction intervals for exponential smoothing using two new classes of state space models In: Journal of Forecasting.
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article15
2005Stochastic models underlying Crostons method for intermittent demand forecasting In: Journal of Forecasting.
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article15
2003Stochastic models underlying Crostons method for intermittent demand forecasting.(2003) In: Monash Econometrics and Business Statistics Working Papers.
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2008Automatic Time Series Forecasting: The forecast Package for R In: Journal of Statistical Software.
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article117
2007Automatic time series forecasting: the forecast package for R..(2007) In: Monash Econometrics and Business Statistics Working Papers.
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1998Residual Diagnostic Plots for Checking for model Mis-Specification in Time Series Regression. In: Monash Econometrics and Business Statistics Working Papers.
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paper3
1999Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbournes Rainfall. In: Monash Econometrics and Business Statistics Working Papers.
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2000Mixed Model-Based Hazard Estimation. In: Monash Econometrics and Business Statistics Working Papers.
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2001Prediction Intervals for Exponential Smoothing State Space Models. In: Monash Econometrics and Business Statistics Working Papers.
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paper8
2001Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease. In: Monash Econometrics and Business Statistics Working Papers.
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2002Local Linear Forecasts Using Cubic Smoothing Splines In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2002An Improved Method for Bandwidth Selection when Estimating ROC Curves In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2002Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand In: Monash Econometrics and Business Statistics Working Papers.
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paper0
2003Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves In: Monash Econometrics and Business Statistics Working Papers.
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paper6
2003Empirical Information Criteria for Time Series Forecasting Model Selection In: Monash Econometrics and Business Statistics Working Papers.
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2003Invertibility Conditions for Exponential Smoothing Models In: Monash Econometrics and Business Statistics Working Papers.
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2005Forecasting Time-Series with Correlated Seasonality In: Monash Econometrics and Business Statistics Working Papers.
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2005Rating Forecasts for Television Programs In: Monash Econometrics and Business Statistics Working Papers.
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200525 Years of IIF Time Series Forecasting: A Selective Review In: Monash Econometrics and Business Statistics Working Papers.
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200525 Years of IIF Time Series Forecasting: A Selective Review.(2005) In: Tinbergen Institute Discussion Papers.
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2005Forecasting age-specific breast cancer mortality using functional data models In: Monash Econometrics and Business Statistics Working Papers.
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2005Time Series Forecasting: The Case for the Single Source of Error State Space In: Monash Econometrics and Business Statistics Working Papers.
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2006Modelling and forecasting Australian domestic tourism In: Monash Econometrics and Business Statistics Working Papers.
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2006Some Nonlinear Exponential Smoothing Models are Unstable In: Monash Econometrics and Business Statistics Working Papers.
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2006Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity In: Monash Econometrics and Business Statistics Working Papers.
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2007Non-linear exponential smoothing and positive data In: Monash Econometrics and Business Statistics Working Papers.
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2007The vector innovation structural time series framework: a simple approach to multivariate forecasting In: Monash Econometrics and Business Statistics Working Papers.
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2007A state space model for exponential smoothing with group seasonality In: Monash Econometrics and Business Statistics Working Papers.
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2008Density forecasting for long-term peak electricity demand In: Monash Econometrics and Business Statistics Working Papers.
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2008Rainbow plots, Bagplots and Boxplots for Functional Data In: Monash Econometrics and Business Statistics Working Papers.
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2009Forecasting time series with complex seasonal patterns using exponential smoothing In: Monash Econometrics and Business Statistics Working Papers.
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2010Short-term load forecasting based on a semi-parametric additive model In: Monash Econometrics and Business Statistics Working Papers.
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2010A comparison of ten principal component methods for forecasting mortality rates In: Monash Econometrics and Business Statistics Working Papers.
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2010Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach In: Monash Econometrics and Business Statistics Working Papers.
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2012Recursive and direct multi-step forecasting: the best of both worlds In: Monash Econometrics and Business Statistics Working Papers.
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2013Two-dimensional smoothing of mortality rates In: Monash Econometrics and Business Statistics Working Papers.
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2014Efficient Identification of the Pareto Optimal Set In: Monash Econometrics and Business Statistics Working Papers.
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2014Boosting multi-step autoregressive forecasts In: Monash Econometrics and Business Statistics Working Papers.
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2014Low-dimensional decomposition, smoothing and forecasting of sparse functional data In: Monash Econometrics and Business Statistics Working Papers.
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2015A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction In: Monash Econometrics and Business Statistics Working Papers.
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2015Probabilistic time series forecasting with boosted additive models: an application to smart meter data In: Monash Econometrics and Business Statistics Working Papers.
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2015STR: A Seasonal-Trend Decomposition Procedure Based on Regression In: Monash Econometrics and Business Statistics Working Papers.
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2015Forecasting hierarchical and grouped time series through trace minimization In: Monash Econometrics and Business Statistics Working Papers.
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2016Long-term forecasts of age-specific participation rates with functional data models In: Monash Econometrics and Business Statistics Working Papers.
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2016Grouped functional time series forecasting: An application to age-specific mortality rates In: Monash Econometrics and Business Statistics Working Papers.
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2016Bayesian Rank Selection in Multivariate Regression In: Monash Econometrics and Business Statistics Working Papers.
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2017Macroeconomic forecasting for Australia using a large number of predictors In: Monash Econometrics and Business Statistics Working Papers.
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2017Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization In: Monash Econometrics and Business Statistics Working Papers.
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2017Coherent Probabilistic Forecasts for Hierarchical Time Series In: Monash Econometrics and Business Statistics Working Papers.
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2018Probabilisitic Forecasts in Hierarchical Time Series In: Monash Econometrics and Business Statistics Working Papers.
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2018Anomaly detection in streaming nonstationary temporal data In: Monash Econometrics and Business Statistics Working Papers.
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2018Meta-learning how to forecast time series In: Monash Econometrics and Business Statistics Working Papers.
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2006A note on the categorization of demand patterns In: Journal of the Operational Research Society.
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2017A note on upper bounds for forecast-value-added relative to naïve forecasts In: Journal of the Operational Research Society.
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2008The admissible parameter space for exponential smoothing models In: Annals of the Institute of Statistical Mathematics.
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2017Dynamic algorithm selection for pareto optimal set approximation In: Journal of Global Optimization.
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2016Long-term Forecasts of Age-specific Labour Market Participation Rates with Functional Data Models In: WIFO Working Papers.
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