Rob J Hyndman : Citation Profile


Are you Rob J Hyndman?

Monash University

24

H index

38

i10 index

2541

Citations

RESEARCH PRODUCTION:

72

Articles

110

Papers

1

Chapters

EDITOR:

1

Series edited

RESEARCH ACTIVITY:

   29 years (1992 - 2021). See details.
   Cites by year: 87
   Journals where Rob J Hyndman has often published
   Relations with other researchers
   Recent citing documents: 447.    Total self citations: 105 (3.97 %)

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: 2021-11-20    RAS profile: 2021-11-16    
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Relations with other researchers


Works with:

Athanasopoulos, George (18)

Panagiotelis, Anastasios (11)

Vahid, Farshid (5)

Eckert, Florian (2)

Shang, Han Lin (2)

Ben Taieb, Souhaib (2)

Talagala, Priyanga (2)

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 (62)

Athanasopoulos, George (58)

Nikolopoulos, Konstantinos (48)

Weron, Rafał (40)

GUPTA, RANGAN (23)

Snyder, Ralph (21)

Hong, Tao (17)

Claveria, Oscar (17)

Marcjasz, Grzegorz (16)

King, Maxwell (15)

de Silva, Ashton (15)

Cites to:

Snyder, Ralph (84)

Athanasopoulos, George (65)

Ord, Keith (52)

Shang, Han Lin (26)

Nikolopoulos, Konstantinos (20)

Engle, Robert (17)

Diebold, Francis (16)

Franses, Philip Hans (15)

Granger, Clive (13)

Panagiotelis, Anastasios (13)

Hong, Tao (12)

Main data


Where Rob J Hyndman has published?


Journals with more than one article published# docs
International Journal of Forecasting31
Computational Statistics & Data Analysis9
European Journal of Operational Research5
Foresight: The International Journal of Applied Forecasting4
Journal of the Operational Research Society2
Journal of Forecasting2
PLOS ONE2
Journal of the American Statistical Association2
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 Statistics99

Recent works citing Rob J Hyndman (2021 and 2020)


YearTitle of citing document
2021Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jędrzejewski, Arkadiusz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2104.

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2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Dubrawski, Artur ; Challu, Cristian ; Olivares, Kin G. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2107.

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2020Wavelet-based feature-engineering for mortality projection. (2020). Denuit, Michel ; Hainaut, Donatien. In: IBSA Discussion Papers (ISBA - Institute of Statistics, Biostatistics and Actuarial Sciences). RePEc:aiz:louvad:2020001.

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2020Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure. (2019). Smeekes, Stephan ; Margaritella, Luca ; Hecq, Alain. In: Papers. RePEc:arx:papers:1902.10991.

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2020Focused Bayesian Prediction. (2019). Frazier, David T ; Martin, Gael M ; Loaiza-Maya, Ruben. In: Papers. RePEc:arx:papers:1912.12571.

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2020Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective. (2020). Lemahieu, Wilfried ; Baesens, Bart ; van den Bossche, Filip ; van Calster, Tine. In: Papers. RePEc:arx:papers:2002.00949.

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2021Text-based crude oil price forecasting. (2020). Jia, Suling ; Yu, Hao ; Li, Xixi ; Bai, Yun. In: Papers. RePEc:arx:papers:2002.02010.

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2020A Hierarchy of Limitations in Machine Learning. (2020). Malik, Momin M. In: Papers. RePEc:arx:papers:2002.05193.

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2020Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach. (2020). Wang, Shouyang ; Ju-e Guo, ; Bi, Dan ; Suna, Shaolong. In: Papers. RePEc:arx:papers:2002.08021.

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2021Time-varying neural network for stock return prediction. (2020). , Richard ; Azizi, Lamiae ; Chan, Jennifer ; Steven, . In: Papers. RePEc:arx:papers:2003.02515.

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2020Multidimensional Analysis of Monthly Stock Market Returns. (2020). Gulseven, Osman. In: Papers. RePEc:arx:papers:2003.05750.

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2020Turn-of-the Year Affect in Gold Prices: Decomposition Analysis. (2020). Gulseven, Osman. In: Papers. RePEc:arx:papers:2003.11027.

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2020A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. (2020). Kuhl, Niklas ; Spitzer, Philipp ; Martin, Dominik. In: Papers. RePEc:arx:papers:2004.10537.

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2020Temporal mixture ensemble models for intraday volume forecasting in cryptocurrency exchange markets. (2020). Lillo, Fabrizio ; Guo, Tian ; Antulov-Fantulin, Nino. In: Papers. RePEc:arx:papers:2005.09356.

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2021The Macroeconomy as a Random Forest. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2006.12724.

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2021Macroeconomic Data Transformations Matter. (2020). Stevanovic, Dalibor ; Surprenant, St'Ephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.01714.

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2021To Bag is to Prune. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.07063.

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2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; de Schutter, Bart ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08004.

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2021Time-Varying Parameters as Ridge Regressions. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2009.00401.

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2020Volatility Forecasting with 1-dimensional CNNs via transfer learning. (2020). , J'Ozsef ; Petneh, G'Abor ; Aradi, Bernadett. In: Papers. RePEc:arx:papers:2009.05508.

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2020High Dimensional Forecast Combinations Under Latent Structures. (2020). Su, Liangjun ; Shi, Zhentao ; Xie, Tian. In: Papers. RePEc:arx:papers:2010.09477.

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2020Endogenous Representation of Asset Returns. (2020). Shkolnik, Alexander ; Zhou, Zhipu ; Oh, Sang-Yun . In: Papers. RePEc:arx:papers:2010.13245.

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2021Functional Principal Component Analysis of Cointegrated Functional Time Series. (2020). Seo, Won-Ki. In: Papers. RePEc:arx:papers:2011.12781.

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2021Long-term prediction intervals with many covariates. (2020). Chudy, Marek ; Karmakar, Sayar ; Wu, Wei Biao. In: Papers. RePEc:arx:papers:2012.08223.

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2020Trademark filings and patent application count time series are structurally near-identical and cointegrated: Implications for studies in innovation. (2020). Daizadeh, Iraj. In: Papers. RePEc:arx:papers:2012.10400.

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2021Chronological Hurst exponent elucidates latent persistency within patents and trademarks applications reflecting strength of innovation initiatives between 1977 and 2016. (2021). Daizadeh, Iraj . In: Papers. RePEc:arx:papers:2101.02588.

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2021Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction. (2021). Wei, YI ; Tiu, Cristian ; Chaudhary, Vipin. In: Papers. RePEc:arx:papers:2101.10942.

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2021Trading Signals In VIX Futures. (2021). Wang, G ; Papanicolaou, A ; Li, T N ; Avellaneda, M. In: Papers. RePEc:arx:papers:2103.02016.

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2021Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls. (2021). Spindler, Martin ; Wasserbacher, Helmut. In: Papers. RePEc:arx:papers:2107.04851.

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2021Latent Seasonal and Secular Periodicities Identified in the Dynamics of US FDA Medical Devices (1976-2020). (2021). Daizadeh, Iraj. In: Papers. RePEc:arx:papers:2107.05347.

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2021National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2021). Cho, Youngsang ; Lee, Juyong. In: Papers. RePEc:arx:papers:2107.06174.

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2021Predicting Drought and Subsidence Risks in France. (2021). Ali, Hani ; James, Molly ; Charpentier, Arthur. In: Papers. RePEc:arx:papers:2107.07668.

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2021AI in Finance: Challenges, Techniques and Opportunities. (2021). Cao, Longbing. In: Papers. RePEc:arx:papers:2107.09051.

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2021Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces. (2021). Shang, Han Lin ; Kearney, Fearghal. In: Papers. RePEc:arx:papers:2107.14026.

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2021Bayesian forecast combination using time-varying features. (2021). Li, Feng ; Kang, Yanfei. In: Papers. RePEc:arx:papers:2108.02082.

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2021Deep Hawkes Process for High-Frequency Market Making. (2021). Kumar, Pankaj. In: Papers. RePEc:arx:papers:2109.15110.

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2021A New Multivariate Predictive Model for Stock Returns. (2021). Xie, Jianying. In: Papers. RePEc:arx:papers:2110.01873.

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2021A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth. (2021). Jiang, Wei ; Wei, Lai ; Li, Yanrong. In: Papers. RePEc:arx:papers:2110.11581.

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2021Joint Models for Cause-of-Death Mortality in Multiple Populations. (2021). Ludkovski, Mike ; Huynh, Nhan. In: Papers. RePEc:arx:papers:2111.06631.

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2021Die Auswirkungen der COVID-19-Pandemie auf die deutschen Wohnungsmärkte. Eine Studie im Auftrag der Hans-Böckler-Stiftung. (2021). Just, Tobias ; Eisfeld, Rupert-Klaas. In: Beiträge zur Immobilienwirtschaft. RePEc:bay:birebs:26.

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2021Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers. (2021). Hipp, Ruben ; Brunner, Felix. In: Staff Working Papers. RePEc:bca:bocawp:21-37.

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2021Can Machine Learning Help to Select Portfolios of Mutual Funds?. (2021). , Andre ; Nogales, Francisco J ; Gil-Bazo, Javier ; Demiguel, Victor ; de Miguel, Victor . In: Working Papers. RePEc:bge:wpaper:1245.

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2020Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period. (2020). Bla, Saek ; Andrej, Kraba ; Davorin, Kofja ; Alja, Ferencek ; Kljaji, Bortnar Mirjana. In: Business Systems Research. RePEc:bit:bsrysr:v:11:y:2020:i:2:p:36-50:n:4.

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2021Nonparametric trend estimation in functional time series with application to annual mortality rates. (2021). Genton, Marc G ; Martinezhernandez, Israel. In: Biometrics. RePEc:bla:biomet:v:77:y:2021:i:3:p:866-878.

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2020How Much do Households Respond to Electricity Prices? Evidence from Australia and Abroad. (2020). Prentice, David ; Conway, Lorraine. In: Economic Papers. RePEc:bla:econpa:v:39:y:2020:i:3:p:290-311.

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2020A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting. (2020). Hartigan, Luke ; Morley, James. In: The Economic Record. RePEc:bla:ecorec:v:96:y:2020:i:314:p:271-293.

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2020Real‐Time Pricing and Imperfect Competition in Electricity Markets. (2020). Wright, Julian ; Poletti, Stephen . In: Journal of Industrial Economics. RePEc:bla:jindec:v:68:y:2020:i:1:p:93-135.

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2020Forecasting of cohort fertility under a hierarchical Bayesian approach. (2020). Forster, Jonathan J ; Dodd, Erengul ; Ellison, Joanne. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:183:y:2020:i:3:p:829-856.

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2020Sustainable Electric Vehicle Charging using Adaptive Pricing. (2020). Zhdanov, Dmitry ; Collins, John ; Ketter, Wolfgang ; Valogianni, Konstantina. In: Production and Operations Management. RePEc:bla:popmgt:v:29:y:2020:i:6:p:1550-1572.

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2021Estimating China’s Future Life Insurance Market. (2021). Aaron, Bruhn ; Fei, Huang ; Jiyue, MA. In: Asia-Pacific Journal of Risk and Insurance. RePEc:bpj:apjrin:v:15:y:2021:i:1:p:16:n:2.

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2020The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain. (2020). Ling, LI ; Jingjing, LI. In: Journal of Systems Science and Information. RePEc:bpj:jossai:v:8:y:2020:i:3:p:224-239:n:2.

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2020Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts. (2020). Gooijer, Jan G. ; Dawit, Zerom ; Jan, De Gooijer. In: Journal of Time Series Econometrics. RePEc:bpj:jtsmet:v:12:y:2020:i:1:p:15:n:4.

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2020A Comparison of Hurst Exponent Estimators in Long-range Dependent Curve Time Series. (2020). Lin, Shang Han. In: Journal of Time Series Econometrics. RePEc:bpj:jtsmet:v:12:y:2020:i:1:p:39:n:3.

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2021Machine Learning on residential electricity consumption: Which households are more responsive to weather?. (2021). Kang, J ; Reiner, D. In: Cambridge Working Papers in Economics. RePEc:cam:camdae:2142.

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2021Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York. (2021). Yang, Cheng ; Lahiri, Kajal. In: CESifo Working Paper Series. RePEc:ces:ceswps:_9365.

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2021Intergenerational Actuarial Fairness when Longevity Increases: Amending the Retirement Age. (2021). Palmer, Edward ; Holzmann, Robert ; Ayuso, Mercedes ; Miguelbravo, Jorge. In: CESifo Working Paper Series. RePEc:ces:ceswps:_9408.

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2020Macroeconomic Data Transformations Matter. (2020). Stevanovic, Dalibor ; Surprenant, Stephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: CIRANO Working Papers. RePEc:cir:cirwor:2020s-42.

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2020Living Longer in High Longevity Risk. (2020). Jung, Hojin ; Kim, Jong-Min ; Wingenbach, Rachel. In: JODE - Journal of Demographic Economics. RePEc:ctl:louvde:v:86:y:2020:i:1:p:47-86.

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2021D-splines: Estimating rate schedules using high-dimensional splines with empirical demographic penalties. (2021). Schmertmann, Carl. In: Demographic Research. RePEc:dem:demres:v:44:y:2021:i:45.

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2021Short- to medium-run forecasting of mobility with dynamic linear models. (2021). Visser, Hans ; Husby, Trond. In: Demographic Research. RePEc:dem:demres:v:45:y:2021:i:28.

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2020Predicting Returns for Growth and Value Stocks: A Forecast Assessment Approach Using Global Asset Pricing Models. (2020). Phillips, Michael G ; Bommer, William H ; Rana, Shailesh. In: International Journal of Economics and Financial Issues. RePEc:eco:journ1:2020-04-12.

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2021Forecasting the Colombian Electricity Spot Price under a Functional Approach. (2021). Barrientos, Jorge ; Gallon, Santiago . In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2021-02-9.

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2020A decomposition-ensemble approach for tourism forecasting. (2020). Wang, Shouyang ; Qian, Yatong ; Xie, Gang. In: Annals of Tourism Research. RePEc:eee:anture:v:81:y:2020:i:c:s0160738320300359.

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2020Daily tourism volume forecasting for tourist attractions. (2020). Li, Hui ; Liu, Yang ; Bi, Jian-Wu. In: Annals of Tourism Research. RePEc:eee:anture:v:83:y:2020:i:c:s0160738320300670.

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2020Forecasting international tourism demand: a local spatiotemporal model. (2020). Li, Jason ; Jiao, Xiaoying. In: Annals of Tourism Research. RePEc:eee:anture:v:83:y:2020:i:c:s0160738320300815.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team. (2021). Ohe, Yasuo ; Pratt, Stephen ; Petit, Sylvain ; Dropsy, Vincent ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s0160738321000177.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team. (2021). Blake, Adam ; Giannoni, Sauveur ; Ramos, Vicente ; Vici, Laura ; Liu, Anyu. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s016073832100044x.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team. (2021). Saayman, Andrea ; Jean-Pierre, Philippe ; Volo, Serena ; Seetaram, Neelu ; Sahli, Mondher ; Provenzano, Davide ; Kourentzes, Nikolaos. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s0160738321000694.

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2021Forecasting air passenger numbers with a GVAR model. (2021). Zekan, Bozana ; Gunter, Ulrich. In: Annals of Tourism Research. RePEc:eee:anture:v:89:y:2021:i:c:s0160738321001304.

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2020A multi-scale method for forecasting oil price with multi-factor search engine data. (2020). Wang, Shouyang ; Li, Ling ; Zhang, Chengyuan ; Tang, Ling. In: Applied Energy. RePEc:eee:appene:v:257:y:2020:i:c:s0306261919317209.

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2020Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption. (2020). Assimakopoulos, Vassilios ; Kourentzes, Nikolaos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320264.

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2020Short-term electrical load forecasting based on error correction using dynamic mode decomposition. (2020). Zhang, Yusen ; Wang, Chengshan ; Li, Chuang ; Kong, Xiangyu. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320550.

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2020Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging. (2020). Weinhardt, Christof ; Dann, David ; Huber, Julian. In: Applied Energy. RePEc:eee:appene:v:262:y:2020:i:c:s0306261920300374.

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2020Digital elevation model-based convolutional neural network modeling for searching of high solar energy regions. (2020). Han, Sanguk ; Kim, Byungil ; Jung, Jaehoon ; Heo, Jae. In: Applied Energy. RePEc:eee:appene:v:262:y:2020:i:c:s0306261920301008.

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2020A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions. (2020). Yoo, Changkyoo ; Park, Duckshin ; Kim, Minjeong ; Loy-Benitez, Jorge ; Li, Qian ; Heo, Sungku ; Nam, Kijeon. In: Applied Energy. RePEc:eee:appene:v:266:y:2020:i:c:s0306261920304050.

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2020A novel hybrid model for forecasting crude oil price based on time series decomposition. (2020). Abdollahi, Hooman. In: Applied Energy. RePEc:eee:appene:v:267:y:2020:i:c:s030626192030547x.

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2020Automatic frequency restoration reserve market prediction: Methodology and comparison of various approaches. (2020). Sauer, Dirk Uwe ; Schoeneberger, Ilka ; Rucker, Fabian ; Merten, Michael. In: Applied Energy. RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304906.

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2020Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing. (2020). Georghiou, George E ; Kaimakis, Paris ; Theristis, Marios ; Livera, Andreas ; Makrides, George ; Theocharides, Spyros. In: Applied Energy. RePEc:eee:appene:v:268:y:2020:i:c:s0306261920305353.

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2020Turbine-specific short-term wind speed forecasting considering within-farm wind field dependencies and fluctuations. (2020). Ezzat, Ahmed Aziz. In: Applied Energy. RePEc:eee:appene:v:269:y:2020:i:c:s0306261920305468.

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2020How to model European electricity load profiles using artificial neural networks. (2020). Praktiknjo, Aaron ; Nolting, Lars ; Behm, Christian. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s030626192031076x.

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2020Load probability density forecasting by transforming and combining quantile forecasts. (2020). Zhang, Shu ; Wang, Dan. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311065.

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2020Performance of alternative electricity price forecasting methods: Findings from the Greek and Hungarian power exchanges. (2020). Verbič, Miroslav ; Zori, Jelena ; Haluan, Marko. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311089.

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2020Adaptive mechanisms to refund emissions payments. (2020). Hill, David John ; Xenophon, Aleksis Kazubiernis. In: Applied Energy. RePEc:eee:appene:v:278:y:2020:i:c:s0306261920311806.

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2020Data-driven electrode parameter identification for vanadium redox flow batteries through experimental and numerical methods. (2020). Brushett, Fikile R ; Chiang, Yet-Ming ; Verda, Vittorio ; Forner-Cuenca, Antoni ; Pizzolato, Alberto ; Tenny, Kevin M ; Cheng, Ziqiang ; Behrou, Reza. In: Applied Energy. RePEc:eee:appene:v:279:y:2020:i:c:s0306261920310424.

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2020Review of wind power scenario generation methods for optimal operation of renewable energy systems. (2020). Chen, BO ; Zhou, Jiasheng ; Li, Jinghua. In: Applied Energy. RePEc:eee:appene:v:280:y:2020:i:c:s0306261920314380.

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2021Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling. (2021). Andresen, Gorm Bruun ; Tranberg, BO ; Bokde, Neeraj Dhanraj. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314926.

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2021An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations. (2021). Straka, Milan ; Refa, Nazir ; Proto, Daniela ; Khormali, Shahab ; Ferruzzi, Gabriella ; de Falco, Pasquale ; Buzna, Lubo ; van der Poel, Gijs. In: Applied Energy. RePEc:eee:appene:v:283:y:2021:i:c:s0306261920317207.

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2021Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants. (2021). Zio, Enrico ; Baraldi, Piero ; Nguyen, Hoang-Phuong . In: Applied Energy. RePEc:eee:appene:v:283:y:2021:i:c:s0306261920317281.

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2021Assessing the performance of deep learning models for multivariate probabilistic energy forecasting. (2021). Honkapuro, Samuli ; Kaarna, Arto ; Lensu, Lasse ; Kuronen, Toni ; Mashlakov, Aleksei. In: Applied Energy. RePEc:eee:appene:v:285:y:2021:i:c:s0306261920317748.

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2021A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting. (2021). Zhou, Xiaojun ; Wang, Cong ; Zhang, Hongli ; Dong, Yingchao. In: Applied Energy. RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000921.

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2021Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features. (2021). Culligan, Patricia J ; Modi, Vijay ; Meinrenken, Christoph J. In: Applied Energy. RePEc:eee:appene:v:287:y:2021:i:c:s0306261921000672.

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2021Heat load forecasting using adaptive temporal hierarchies. (2021). Madsen, Henrik ; Guericke, Daniela ; Palsson, Olafur Petur ; Nystrup, Peter ; Moller, Jan Kloppenborg ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003603.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2021A meta-learning based distribution system load forecasting model selection framework. (2021). Zhang, SI ; Li, Yiyan ; Lu, Ning ; Hu, Rongxing. In: Applied Energy. RePEc:eee:appene:v:294:y:2021:i:c:s0306261921004591.

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2021An integrated smart home energy management model based on a pyramid taxonomy for residential houses with photovoltaic-battery systems. (2021). Luo, Xiaowei ; Pan, Jia ; Sun, Zhankun ; Zheng, Zhuang. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005936.

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2021Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity. (2021). Taylor, Phil C ; Walker, Sara ; Sheehy, Sarah ; Greenwood, David ; Bloomfield, Hannah ; Deakin, Matthew. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921006802.

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2021Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow. (2021). Faulwasser, Timm ; Waczowicz, Simon ; Dupmeier, Clemens ; Kuhnapfel, Uwe ; Akmak, Huseyin ; Liu, Jianlei ; Braun, Eric ; Muhlpfordt, Tillmann ; Appino, Riccardo Remo ; Gonzalez-Ordiano, Jorge Angel ; Hagenmeyer, Veit ; Mikut, Ralf. In: Applied Energy. RePEc:eee:appene:v:302:y:2021:i:c:s0306261921008837.

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2020Using Artificial Neural Network techniques to improve the description and prediction of household financial ratios. (2020). Grable, John E ; Park, Narang ; Lee, Jae Min ; Heo, Wookjae. In: Journal of Behavioral and Experimental Finance. RePEc:eee:beexfi:v:25:y:2020:i:c:s2214635019302230.

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2020Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. (2020). Santos, Leandro Dos ; Mariani, Viviana Cocco ; da Silva, Ramon Gomes ; Dal, Matheus Henrique. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:135:y:2020:i:c:s0960077920302538.

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2021Forecasting COVID-19 pandemic using optimal singular spectrum analysis. (2021). Kalantari, Mahdi. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:142:y:2021:i:c:s0960077920309383.

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2021?-generalised Gutenberg–Richter law and the self-similarity of earthquakes. (2021). Luiz, Sergio. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920310134.

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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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1997Some Properties and Generalizations of Non?negative Bayesian Time Series Models In: Journal of the Royal Statistical Society Series B.
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1993YULE?WALKER ESTIMATES FOR CONTINUOUS?TIME AUTOREGRESSIVE MODELS In: Journal of Time Series Analysis.
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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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2004Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC In: Econometric Society 2004 Australasian Meetings.
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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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2001Bandwidth selection for kernel conditional density estimation In: Computational Statistics & Data Analysis.
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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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2005Robust forecasting of mortality and fertility rates: a functional data approach.(2005) 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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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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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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2017Forecasting with temporal hierarchies In: European Journal of Operational Research.
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2015Forecasting with Temporal Hierarchies.(2015) In: MPRA Paper.
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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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2011The value of feedback in forecasting competitions.(2011) In: International Journal of Forecasting.
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2016Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation In: International Journal of Forecasting.
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2014Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation.(2014) In: Monash Econometrics and Business Statistics Working Papers.
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2016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond In: International Journal of Forecasting.
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2017Visualising forecasting algorithm performance using time series instance spaces In: International Journal of Forecasting.
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2016Visualising forecasting Algorithm Performance using Time Series Instance Spaces.(2016) In: Monash Econometrics and Business Statistics Working Papers.
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2018Crude oil price forecasting based on internet concern using an extreme learning machine In: International Journal of Forecasting.
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2019Macroeconomic forecasting for Australia using a large number of predictors In: International Journal of Forecasting.
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2020Forecasting in social settings: The state of the art In: International Journal of Forecasting.
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2020A brief history of forecasting competitions In: International Journal of Forecasting.
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2019A Brief History of Forecasting Competitions.(2019) In: Monash Econometrics and Business Statistics Working Papers.
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2020FFORMA: Feature-based forecast model averaging In: International Journal of Forecasting.
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2018FFORMA: Feature-based forecast model averaging.(2018) In: Monash Econometrics and Business Statistics Working Papers.
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2011Nonparametric time series forecasting with dynamic updating In: Mathematics and Computers in Simulation (MATCOM).
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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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2002An Improved Method for Bandwidth Selection when Estimating ROC Curves.(2002) In: Monash Econometrics and Business Statistics Working Papers.
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2017The Australian Macro Database: An online resource for macroeconomic research in Australia In: CAMA Working Papers.
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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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2007Minimum Sample Size requirements for Seasonal Forecasting Models In: Foresight: The International Journal of Applied Forecasting.
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2010Free Open-Source Forecasting Using R In: Foresight: The International Journal of Applied Forecasting.
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