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
Spyros MakridakisUniv. of Nicosia, Institute For the Future (IFF) and the Makridakis Open Forecasting Center (MOFC)Verified email at UNIC.ac.cy
Earo WangDepartment of Statistics, The University of AucklandVerified email at auckland.ac.nz
Christoph BergmeirMonash UniversityVerified email at monash.edu
Bircan ErbasLa Trobe UniversityVerified email at latrobe.edu.au
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Jan VerbesseltAssociate Professor, Wageningen UniversityVerified email at wur.nl
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Fotios PetropoulosProfessor of Management Science, University of BathVerified email at bath.ac.uk
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Yeasmin KhandakarSenior Data Scientist, OfficeworksVerified email at officeworks.com.au
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityVerified email at uok.edu.pk
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Muhammad AkramPhysics Division, PINSTECHVerified email at pinstech.org.pk
Shanika WickramasuriyaLecturer, University of AucklandVerified email at auckland.ac.nz
Michael AbramsonProfessor of clinical epidemiology, Monash UniversityVerified email at monash.edu

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	6324*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	4017	2006
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	3512	2018
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	2880	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1342	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	1257	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1138	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1023	1996
Package ‘hts’ RJ Hyndman, A Lee, E Wang, S Wickramasuriya, ME Wang	1009*	2021
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	946	2002
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	695	2007
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	672	2011
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	653	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	591	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	562	2016
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	533	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	471	2011
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	406	1996
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	387*	2018
Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011	347	2011

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