Rob J Hyndman

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George AthanasopoulosMonash UniversityVerified email at monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityVerified email at monash.edu
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie UniversityVerified email at mq.edu.au
Keith OrdEmeritus Professor of Business Statistics, Georgetown UniversityVerified email at georgetown.edu
Christoph BergmeirMonash UniversityVerified email at monash.edu
Spyros MakridakisUniv. of Nicosia, Institute For the Future (IFF) and the Makridakis Open Forecasting Center (MOFC)Verified email at UNIC.ac.cy
Bircan ErbasLa Trobe UniversityVerified email at latrobe.edu.au
Jan VerbesseltAssociate Professor, Wageningen UniversityVerified email at wur.nl
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Fotios PetropoulosProfessor of Management Science, University of BathVerified email at bath.ac.uk
Yeasmin KhandakarSenior Data Scientist, OfficeworksVerified email at officeworks.com.au
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Shanika WickramasuriyaLecturer, University of AucklandVerified email at auckland.ac.nz
Muhammad AkramPhysics Division, PINSTECHVerified email at pinstech.org.pk
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityVerified email at uok.edu.pk
Michael AbramsonProfessor of clinical epidemiology, Monash UniversityVerified email at monash.edu
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of SydneyVerified email at sydney.edu.au

Rob J Hyndman

Professor of Statistics, Monash University

Verified email at monash.edu - Homepage

Forecasting Time series Statistics Exploratory data analysis Anomaly detection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	6674*	1998
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	4658	2018
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	4630	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	3390	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1529	2008
Detecting trend and seasonal changes in satellite image time series J Verbesselt, R Hyndman, G Newnham, D Culvenor Remote sensing of Environment 114 (1), 106-115, 2010	1450	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1295	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1111	1996
A state space framework for automatic forecasting using exponential smoothing methods RJ Hyndman, AB Koehler, RD Snyder, S Grose International Journal of forecasting 18 (3), 439-454, 2002	1062	2002
hts: Hierarchical and Grouped Time Series RJ Hyndman, A Lee, E Wang, S Wickramasuriya, E Wang	969*	2021
Forecasting time series with complex seasonal patterns using exponential smoothing AM De Livera, RJ Hyndman, RD Snyder Journal of the American statistical association 106 (496), 1513-1527, 2011	846	2011
Robust forecasting of mortality and fertility rates: A functional data approach RJ Hyndman, MS Ullah Computational Statistics and Data Analysis 51 (10), 4942-4956, 2007	763	2007
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	708	1996
Phenological change detection while accounting for abrupt and gradual trends in satellite image time series J Verbesselt, R Hyndman, A Zeileis, D Culvenor Remote Sensing of Environment 114 (12), 2970-2980, 2010	657	2010
Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond T Hong, P Pinson, S Fan, H Zareipour, A Troccoli, RJ Hyndman International Journal of forecasting 32 (3), 896-913, 2016	654	2016
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	628	2006
Short-term load forecasting based on a semi-parametric additive model S Fan, RJ Hyndman IEEE transactions on power systems 27 (1), 134-141, 2011	514	2011
rmarkdown: Dynamic Documents for R J Allaire, Y Xie, J McPherson, J Luraschi, K Ushey, A Atkins, H Wickham, ... R package version 1 (11), 2018	506*	2018
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	421	1996
A note on the validity of cross-validation for evaluating autoregressive time series prediction C Bergmeir, RJ Hyndman, B Koo Computational Statistics & Data Analysis 120, 70-83, 2018	412	2018

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