Rob J Hyndman - Google Scholar Citations

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George AthanasopoulosMonash UniversityVerified email at monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityVerified email at monash.edu
Han Lin ShangResearch School of Finance, Actuarial Studies & Statistics, Australian National UniversityVerified email at anu.edu.au
Keith OrdProfessor of Business Statistics, Georgetown UniversityVerified email at georgetown.edu
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Spyros MakridakisUniversity of Nicosia, Institute For the Future (IFF)Verified email at UNIC.ac.cy
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
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Fotios PetropoulosUniversity of BathVerified email at bath.ac.uk
Muhammad AkramPhysics Division, PINSTECHVerified email at pinstech.org.pk
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Michael AbramsonProfessor of clinical epidemiology, Monash UniversityVerified email at monash.edu
Dr Shahid UllahSenior Biostatistician and Senior Lecturer in Biostatistics, South Australian Health & MedicalVerified email at sahmri.com
Leonie TickleAssociate Professor in Actuarial Studies, Macquarie UniversityVerified email at mq.edu.au
Shyamali Chandrika DharmageProfessor of Epidemiology, Head of the Allergy and Lung Health Unit, University of MelbourneVerified email at unimelb.edu.au
Roman AhmedData Scientist, 460degreesVerified email at ambiata.com

Rob J Hyndman

Professor of Statistics, Monash University

Verified email at monash.edu - Homepage

Forecasting Time series Applied Statistics Machine learning Exploratory data analysis


Title	Cited by	Year
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	5498*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	2848	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	1851	2007
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	1665	2018
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	965	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	892	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	872	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	818	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	727	2002
forecast: Forecasting functions for time series and linear models RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...	587*	2018
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	538	2007
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	537	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	439	2010
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	392	2011
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	384	2006
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	361	1996
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	358	2011
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	326	2016
Density forecasting for long-term peak electricity demand RJ Hyndman, S Fan IEEE Transactions on Power Systems 25 (2), 1142-1153, 2009	268	2009
Stochastic population forecasts using functional data models for mortality, fertility and migration RJ Hyndman, H Booth International Journal of Forecasting 24 (3), 323-342, 2008	248	2008

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