Rob J Hyndman : Citation Profile

Are you Rob J Hyndman?

Monash University

32

H index

53

i10 index

4133

Citations

RESEARCH PRODUCTION:

81

Articles

116

Papers

1

Chapters

EDITOR:

1

Series edited

RESEARCH ACTIVITY:

   32 years (1992 - 2024). See details.
   Cites by year: 129
   Journals where Rob J Hyndman has often published
   Relations with other researchers
   Recent citing documents: 449.    Total self citations: 120 (2.82 %)

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

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   Permalink: http://citec.repec.org/phy3
   Updated: 2024-11-04    RAS profile: 2024-06-07    
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Relations with other researchers

Works with:

Athanasopoulos, George (8)

Panagiotelis, Anastasios (6)

Li, Feng (3)

Eckert, Florian (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 (112)

Li, Feng (81)

Athanasopoulos, George (59)

Nikolopoulos, Konstantinos (52)

Weron, Rafał (51)

Castle, Jennifer (39)

Hendry, David (37)

Franses, Philip Hans (33)

Thomakos, Dimitrios (31)

Grossi, Luigi (31)

Guidolin, Massimo (29)

Cites to:

Athanasopoulos, George (92)

Snyder, Ralph (84)

Ord, John (52)

Shang, Han Lin (34)

Diebold, Francis (23)

Nikolopoulos, Konstantinos (22)

Lee, Ronald (20)

Franses, Philip Hans (19)

Engle, Robert (17)

Panagiotelis, Anastasios (17)

Timmermann, Allan (14)

Main data

Where Rob J Hyndman has published?

Journals with more than one article published# docs
International Journal of Forecasting38
Computational Statistics & Data Analysis9
European Journal of Operational Research6
Foresight: The International Journal of Applied Forecasting4
PLOS ONE2
Journal of the Operational Research Society2
Journal of the American Statistical Association2
Demographic Research2
Journal of Forecasting2

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics104

Recent works citing Rob J Hyndman (2024 and 2023)

YearTitle of citing document
2023Combined Forecasts of Intermittent Demand for Stock-keeping Units (SKUs). (2023). Utma, Gizem Halil ; Ikiz, Aysun Kapucugil. In: World Journal of Applied Economics. RePEc:ana:journl:v:9:y:2023:i:1:p:1-31.

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2023Time Series Forecasting of the Covid-19 Pandemic: A Critical Assessment in Retrospect. (2023). Gungor, Murat. In: Alphanumeric Journal. RePEc:anm:alpnmr:v:11:y:2023:i:1:p:85-100.

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2023Deep Dynamic Factor Models. (2020). Ricco, Giovanni ; Izzo, Cosimo ; Andreini, Paolo. In: Papers. RePEc:arx:papers:2007.11887.

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2024To Bag is to Prune. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.07063.

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2023Time-Varying Parameters as Ridge Regressions. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2009.00401.

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2023Functional Principal Component Analysis of Cointegrated Functional Time Series. (2020). Seo, Won-Ki. In: Papers. RePEc:arx:papers:2011.12781.

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2024Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction. (2022). Salish, Nazarii ; Otto, Sven. In: Papers. RePEc:arx:papers:2201.02532.

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2023Scarring effects of the COVID-19 pandemic on the Italian labour market. (2022). Fiaschi, Davide ; Tealdi, Cristina. In: Papers. RePEc:arx:papers:2202.13317.

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2024Application of Hawkes volatility in the observation of filtered high-frequency price process in tick structures. (2022). Lee, Kyungsub. In: Papers. RePEc:arx:papers:2207.05939.

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2024Global combinations of expert forecasts. (2022). Vasnev, Andrey L ; Thompson, Ryan ; Qian, Yilin. In: Papers. RePEc:arx:papers:2207.07318.

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2023Predicting Performances of Mutual Funds using Deep Learning and Ensemble Techniques. (2022). Tran, Hien ; Nguyen, Huy ; Pham, Nga ; Dao, Binh ; Chu, Nghia. In: Papers. RePEc:arx:papers:2209.09649.

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2024Prediction intervals for economic fixed-event forecasts. (2022). Plett, Hendrik ; Kruger, Fabian. In: Papers. RePEc:arx:papers:2210.13562.

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2024Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data. (2022). Ortega, Juan-Pablo ; van Huellen, Sophie ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Dellaportas, Petros ; Ballarin, Giovanni. In: Papers. RePEc:arx:papers:2211.00363.

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2023Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling. (2023). Cao, Longbing ; Xu, Jia. In: Papers. RePEc:arx:papers:2305.08778.

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2023Machine Learning for Socially Responsible Portfolio Optimisation. (2023). van Zyl, Terence L ; Nundlall, Taeisha. In: Papers. RePEc:arx:papers:2305.12364.

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2023Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. (2023). Ziel, Florian ; Ghelasi, Paul. In: Papers. RePEc:arx:papers:2305.16255.

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2024Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks. (2023). Cartlidge, John ; Clegg, Lawrence. In: Papers. RePEc:arx:papers:2306.01740.

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2024Maximally Machine-Learnable Portfolios. (2023). Goebel, Maximilian ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2306.05568.

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2023Noise reduction for functional time series. (2023). Wouters, Bram ; Diks, Cees. In: Papers. RePEc:arx:papers:2307.02154.

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2023Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: a Lloyds of London Case Study. (2023). Tua, Alan ; Feng, Zhe ; Kam, Keith ; Ahmed, Akhil ; Olmez, Sedar. In: Papers. RePEc:arx:papers:2307.05581.

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2023Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins. (2023). Ampountolas, Apostolos. In: Papers. RePEc:arx:papers:2307.08853.

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2023The Bayesian Context Trees State Space Model for time series modelling and forecasting. (2023). Kontoyiannis, Ioannis ; Papageorgiou, Ioannis. In: Papers. RePEc:arx:papers:2308.00913.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023Hedging Forecast Combinations With an Application to the Random Forest. (2023). Wolf, Michael ; Kozbur, Damian ; Beck, Elliot. In: Papers. RePEc:arx:papers:2308.15384.

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2023Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series. (2023). Vogklis, Konstantinos ; Nasios, Ioannis. In: Papers. RePEc:arx:papers:2310.13029.

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2024Judgment in macroeconomic output growth predictions: Efficiency, accuracy and persistence. (2024). Pedersen, Michael. In: Papers. RePEc:arx:papers:2404.04105.

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2024Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect. (2024). Chen, Muzi ; Huang, Difang ; Wu, Boyao. In: Papers. RePEc:arx:papers:2404.04335.

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2024Neural Network Modeling for Forecasting Tourism Demand in Stopi\{c}a Cave: A Serbian Cave Tourism Study. (2024). Tomi, Nemanja ; Markovi, Slobodan ; Anti, Aleksandar ; Mili, Srdjan ; Baji, Buda. In: Papers. RePEc:arx:papers:2404.04974.

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2024Maximally Forward-Looking Core Inflation. (2024). Goebel, Maximilian ; Barrette, Christophe ; Klieber, Karin ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2404.05209.

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2024DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting. (2024). Zhang, Luyao ; Zhou, Mingyu ; Fu, Yihang. In: Papers. RePEc:arx:papers:2405.00522.

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2024QxEAI -- Automated probabilistic forecasting with Quantum-like evolutionary algorithm. (2024). Xin, Lizhi. In: Papers. RePEc:arx:papers:2405.03701.

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2024.

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2023.

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2023A tool to nowcast tourist overnight stays with payment data and complementary indicators. (2023). Mariani, Vincenzo ; Crispino, Marta. In: Questioni di Economia e Finanza (Occasional Papers). RePEc:bdi:opques:qef_746_23.

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2024.

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2023Recent developments in multivariate wind and solar power forecasting. (2023). Madsen, Henrik ; Bacher, Peder ; Moller, Jan K ; Bjerregrd, Mathias B ; Nystrup, Peter ; Sorensen, Mikkel L. In: Wiley Interdisciplinary Reviews: Energy and Environment. RePEc:bla:wireae:v:12:y:2023:i:2:n:e465.

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2023Parameter least-squares estimation for time-inhomogeneous Ornstein–Uhlenbeck process. (2023). Getut, Pramesti. In: Monte Carlo Methods and Applications. RePEc:bpj:mcmeap:v:29:y:2023:i:1:p:1-32:n:5.

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2023Time series forecasting : a test of automated econometric methods. (2023). Melo, Igor Viveiros ; Ferreira, Erick Inacio. In: Textos para Discussão Cedeplar-UFMG. RePEc:cdp:texdis:td661.

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2023The Human Multiple Births Database (HMBD). (2023). Pison, Gilles ; Caporali, Arianna ; Torres, Catalina. In: Demographic Research. RePEc:dem:demres:v:48:y:2023:i:4.

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2023A validation workflow for mortality forecasting. (2023). Bohk-Ewald, Christina ; Scholey, Jonas ; Duerst, Ricarda. In: MPIDR Working Papers. RePEc:dem:wpaper:wp-2023-020.

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2023Volatile Financial Conditions, Asset Prices, and Investment Decisions: Analysis of daily data of DJIA and S&P500, from January to April of 2022. (2023). Pemberton, Jared. In: Applied Econometrics and International Development. RePEc:eaa:aeinde:v:23:y:2023:i:1_5.

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2023Are unit root tests useful for univariate time series forecasts with different orders of integration? A Monte Carlo study. (2023). Tsang, Kwok Ping ; Lo, Ming Chien ; Check, Adam J. In: Economics Bulletin. RePEc:ebl:ecbull:eb-22-00135.

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2024Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany. (2024). Menz, Jan-Oliver ; Wieland, Elisabeth ; Schnorrenberger, Richard ; Carstensen, Kai ; Beck, Gunter W. In: Working Paper Series. RePEc:ecb:ecbwps:20242930.

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2023Analyzing Electricity Demand in Colombia: A Functional Time Series Approach. (2023). Duque, Fernando Villada ; Marulanda, Laura Marquez ; Marin, Jorge Barrientos. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2023-01-11.

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2023Forecasting daily tourism demand with multiple factors. (2023). Jin, Chun ; Liu, Yang ; Xu, Shilin. In: Annals of Tourism Research. RePEc:eee:anture:v:103:y:2023:i:c:s0160738323001482.

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2023Dynamic ensemble deep echo state network for significant wave height forecasting. (2023). Suganthan, Ponnuthurai Nagaratnam ; Hu, Minghui ; Li, Ruilin ; Gao, Ruobin ; Yuen, Kum Fai. In: Applied Energy. RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015185.

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2023A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency. (2023). Li, Ming ; Cui, Can. In: Applied Energy. RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015458.

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2023Short-term electricity load forecasting—A systematic approach from system level to secondary substations. (2023). Francisco, Alexandre P ; Madeira, Sara C ; Pinheiro, Marco G. In: Applied Energy. RePEc:eee:appene:v:332:y:2023:i:c:s0306261922017500.

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2023Conformal asymmetric multi-quantile generative transformer for day-ahead wind power interval prediction. (2023). Guo, Chuangxin ; Huang, Gang ; Feng, Bin ; Wang, Wei ; Chen, Zhe ; Liao, Wenlong. In: Applied Energy. RePEc:eee:appene:v:333:y:2023:i:c:s0306261922018918.

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2023Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S.. (2023). Pearce, Joshua M ; Sommerfeldt, Nelson. In: Applied Energy. RePEc:eee:appene:v:336:y:2023:i:c:s0306261923002027.

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2023Optimal dispatch of a multi-energy system microgrid under uncertainty: A renewable energy community in Austria. (2023). Haas, Reinhard ; Ajanovic, Amela ; Auer, Hans ; Zellinger, Michael ; Mansoor, Muhammad ; Stadler, Michael ; Cosic, Armin ; Houben, Nikolaus. In: Applied Energy. RePEc:eee:appene:v:337:y:2023:i:c:s0306261923002775.

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2023Grid-connected cabin preheating of Electric Vehicles in cold climates – A non-flexible share of the EV energy use. (2023). Andresen, Inger ; Ludvigsen, Bjorn ; Sorensen, Se Lekang. In: Applied Energy. RePEc:eee:appene:v:341:y:2023:i:c:s030626192300418x.

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2023Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations. (2023). Mahmoudian, Ali ; Taghizadeh, Foad ; Sanjari, Mohammad ; Garmabdari, Rasoul ; Bai, Feifei ; Mousavizade, Mirsaeed ; Lu, Junwei. In: Applied Energy. RePEc:eee:appene:v:341:y:2023:i:c:s0306261923004828.

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2023An AI framework integrating physics-informed neural network with predictive control for energy-efficient food production in the built environment. (2023). You, Fengqi ; Hu, Guoqing. In: Applied Energy. RePEc:eee:appene:v:348:y:2023:i:c:s0306261923008140.

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2023Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads. (2023). Zeiler, Wim ; Moller, Jan Kloppenborg ; Madsen, Henrik ; Leprince, Julien. In: Applied Energy. RePEc:eee:appene:v:348:y:2023:i:c:s0306261923008747.

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2023T-shape data and probabilistic remaining useful life prediction for Li-ion batteries using multiple non-crossing quantile long short-term memory. (2023). Weng, YU ; Nguyen, Hung D ; Wolter, Franz-Erich ; Xie, Jiahang ; Ly, Sel. In: Applied Energy. RePEc:eee:appene:v:349:y:2023:i:c:s0306261923007195.

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2023Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture. (2023). Nakanishi, Yosuke ; Liu, Jiang ; Zhou, Heng ; Zheng, Peijun. In: Applied Energy. RePEc:eee:appene:v:349:y:2023:i:c:s0306261923009716.

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2023Heat load forecasting using adaptive spatial hierarchies. (2023). Madsen, Henrik ; Moller, Jan Kloppenborg ; Sorensen, Mikkel Lindstrom ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010401.

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2023Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning. (2023). Marrocu, Marino ; Massidda, Luca. In: Applied Energy. RePEc:eee:appene:v:351:y:2023:i:c:s0306261923011479.

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2024Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy. (2024). Li, Mingchen ; Cheng, Zishu ; Yang, Kun ; Wei, Yunjie ; Wang, Shouyang. In: Applied Energy. RePEc:eee:appene:v:353:y:2024:i:pa:s0306261923014666.

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2024Probabilistic forecast-based portfolio optimization of electricity demand at low aggregation levels. (2024). Jeon, Joo Young ; Alvarenga, Estevo ; Park, Jungyeon ; Ahn, Kwangwon ; Kim, Hokyun ; Petropoulos, Fotios ; Li, Ran. In: Applied Energy. RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923014733.

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2024Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine. (2024). Steens, T ; Schwenzer, J ; Grandon, Gonzalez T ; Breuing, J. In: Applied Energy. RePEc:eee:appene:v:355:y:2024:i:c:s0306261923016136.

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2024A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy. (2024). Wang, Kang ; Xing, Qianyi ; Yang, YI ; Huang, Xiaojia ; Li, Caihong. In: Applied Energy. RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017051.

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2024Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables. (2024). Karve, Pranav ; Nath, Paromita ; Stover, Oliver ; Baroud, Hiba ; Mahadevan, Sankaran. In: Applied Energy. RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018020.

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2024A holistic time series-based energy benchmarking framework for applications in large stocks of buildings. (2024). Capozzoli, Alfonso ; Giudice, Rocco ; Piscitelli, Marco Savino. In: Applied Energy. RePEc:eee:appene:v:357:y:2024:i:c:s0306261923019141.

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2024Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data. (2024). Kazmi, Hussain ; Miller, Clayton ; Khalil, Mohamad ; Balint, Attila ; Fu, Chun ; Canaydin, Ada. In: Applied Energy. RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001247.

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2024End-to-end learning of representative PV capacity factors from aggregated PV feed-ins. (2024). von Bremen, Lueder ; Zech, Matthias. In: Applied Energy. RePEc:eee:appene:v:361:y:2024:i:c:s0306261924003064.

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2024A novel meta-learning approach for few-shot short-term wind power forecasting. (2024). Tjernberg, Lina Bertling ; Yan, Yamin ; Liu, Yongqian ; Chen, Fuhao. In: Applied Energy. RePEc:eee:appene:v:362:y:2024:i:c:s0306261924002216.

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2023An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. (2023). Ghosh, Indrajit ; Nadim, Sk Shahid ; Chakraborty, Tanujit ; Panja, Madhurima ; Liu, Nan ; Kumar, Uttam. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:167:y:2023:i:c:s0960077923000255.

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2024Based on hypernetworks and multifractals: Deep distribution feature fusion for multidimensional nonstationary time series prediction. (2024). Shen, Chaowen ; Wen, Lihong. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:182:y:2024:i:c:s0960077924003631.

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2023Robust estimation for functional quadratic regression models. (2023). Parada, Daniela ; Boente, Graciela. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:187:y:2023:i:c:s0167947323001093.

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2024Goodness-of-fit test for point processes first-order intensity. (2024). Martinez-Miranda, M D ; Gonzalez-Manteiga, W ; Borrajo, M I. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:194:y:2024:i:c:s0167947324000136.

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2023Assessing the World Bank’s growth forecasts. (2023). Tsuchiya, Yoichi. In: Economic Analysis and Policy. RePEc:eee:ecanpo:v:77:y:2023:i:c:p:64-84.

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2024The impact of joint events on oil price volatility: Evidence from a dynamic graphical news analysis model. (2024). Zhao, Lu-Tao ; Wang, Dai-Song ; Ren, Zhong-Yuan. In: Economic Modelling. RePEc:eee:ecmode:v:130:y:2024:i:c:s0264999323003991.

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2024Predicting tourism recovery from COVID-19: A time-varying perspective. (2024). Song, Haiyan ; Liu, Han ; Wen, Long. In: Economic Modelling. RePEc:eee:ecmode:v:135:y:2024:i:c:s0264999324000622.

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2023Economic and commercial analysis of reusing dam reservoir sediments. (2023). Schleiss, Anton J ; Heydariyeh, Seyyed Abdollah ; Alroaia, Younos Vakil ; Nikafkar, Nasrin. In: Ecological Economics. RePEc:eee:ecolec:v:204:y:2023:i:pb:s0921800922003299.

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2023Time series cross validation: A theoretical result and finite sample performance. (2023). Deng, AI. In: Economics Letters. RePEc:eee:ecolet:v:233:y:2023:i:c:s0165176523003944.

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2023Modelling the biocontrol of Spodoptera frugiperda: A mechanistic approach considering Bt crops and oviposition behaviour. (2023). Conde, Wesley Augusto ; Weber, Igor Daniel ; Anjos, Lucas Dos. In: Ecological Modelling. RePEc:eee:ecomod:v:484:y:2023:i:c:s030438002300220x.

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2024Linking error measures to model questions. (2024). Hengeveld, Geerten M ; Tobi, Hilde ; Jacobs, Bas. In: Ecological Modelling. RePEc:eee:ecomod:v:487:y:2024:i:c:s0304380023002922.

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2023CRPS learning. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:2:s0304407621002724.

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2024Economic trade-offs of harvesting the ocean twilight zone: An ecosystem services approach. (2024). Bald, Carlos ; Andonegi, Eider ; Corrales, Xavier ; Prellezo, Ral ; Tasdemir, Deniz ; Murillas-Maza, Arantza ; Martin, Adrian ; Irigoien, Xabier ; Iarra, Bruno ; Fernandes-Salvador, Jose A. In: Ecosystem Services. RePEc:eee:ecoser:v:67:y:2024:i:c:s2212041624000391.

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2023A new taxonomy for vector exponential smoothing and its application to seasonal time series. (2023). Boylan, John E ; Chen, Huijing ; Svetunkov, Ivan. In: European Journal of Operational Research. RePEc:eee:ejores:v:304:y:2023:i:3:p:964-980.

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2023Distributionally robust optimal power flow with contextual information. (2023). Morales, Juan M ; Esteban-Perez, Adrian. In: European Journal of Operational Research. RePEc:eee:ejores:v:306:y:2023:i:3:p:1047-1058.

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2023Lumpy and intermittent retail demand forecasts with score-driven models. (2023). Borenstein, Denis ; Fernandes, Cristiano ; Sarlo, Rodrigo. In: European Journal of Operational Research. RePEc:eee:ejores:v:307:y:2023:i:3:p:1146-1160.

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

Rob J Hyndman is editor of

Journal
Monash Econometrics and Business Statistics Working Papers

Works by Rob J Hyndman:

YearTitleTypeCited
2011Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models In: Working Papers.
[Full Text][Citation analysis]		paper80
2011Coherent mortality forecasting: the product-ratio method with functional time series models.(2011) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 80		paper
2013Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models.(2013) In: Demography.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 80		article
2020Modern Strategies for Time Series Regression In: International Statistical Review.
[Full Text][Citation analysis]		article1
2022Seasonal functional autoregressive models In: Journal of Time Series Analysis.
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2019Seasonal Functional Autoregressive Models.(2019) In: Monash Econometrics and Business Statistics Working Papers.
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2021Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data In: Journal of the American Statistical Association.
[Full Text][Citation analysis]		article15
2016Long-term Forecasts of Age-specific Labour Market Participation Rates with Functional Data Models In: WIFO Working Papers.
[Full Text][Citation analysis]		paper3
Nonparametric autocovariance function estimation In: Statistics Working Paper.
[Citation analysis]		paper5

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