Rob J Hyndman

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Citations	58318	36544
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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 BergmeirUniversity of GranadaVerified email at monash.edu
Spyros MakridakisUniversity of Nicosia, Inst. For the Future (IFF), the Makridakis Open Forecast. Center MOFCVerified email at UNIC.ac.cy
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Jan VerbesseltAssociate Professor, Wageningen UniversityVerified email at wur.nl
Bircan ErbasLa Trobe UniversityVerified email at latrobe.edu.au
Yeasmin KhandakarSenior Data Scientist, TransurbanVerified email at officeworks.com.au
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Shanika WickramasuriyaLecturer, University of AucklandVerified email at auckland.ac.nz
Fotios PetropoulosProfessor of Management Science, University of Bath; Spyros Makridakis Chair in Forecasting (UNIC)Verified email at bath.ac.uk
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityVerified email at uok.edu.pk
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of SydneyVerified email at sydney.edu.au
Sevvandi KandanaarachchiCSIRO's Data61Verified email at data61.csiro.au
Yanfei KangSchool of Economics and Management, Beihang UniversityVerified email at buaa.edu.cn

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	7405*	1998
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	7327	2018
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	5750	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	4471	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1913	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	1769	2010
forecast: Forecasting functions for time series and linear models RJ Hyndman	1646*	2021
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1513	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1333	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	1313	2002
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	1116	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	906	2007
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	849	2016
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	810	1996
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	789	2006
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	788	2010
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	694*	2018
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	611	2018
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	576	2011
Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011	544	2011

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