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
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Keith OrdEmeritus Professor of Business Statistics, Georgetown UniversityVerified email at georgetown.edu
Spyros MakridakisUniversity of Nicosia, Institute For the Future (IFF)Verified email at UNIC.ac.cy
Bircan ErbasLa Trobe UniversityVerified email at latrobe.edu.au
Christoph BergmeirMonash UniversityVerified email at monash.edu
Fotios PetropoulosUniversity of BathVerified email at bath.ac.uk
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
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Muhammad AkramPhysics Division, PINSTECHVerified email at pinstech.org.pk
Michael AbramsonProfessor of clinical epidemiology, Monash UniversityVerified email at monash.edu
Leonie TickleAssociate Dean Learning and Teaching and Professor of Actuarial Studies, Macquarie Business SchoolVerified 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, ANZ BankVerified email at ambiata.com
Glenn NewnhamCSIRO Land and WaterVerified email at csiro.au

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 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	5816*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	3095	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	2067	2007
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	2023	2018
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1050	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	979	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	926	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	867	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	777	2002
forecast: Forecasting functions for time series and linear models RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...	709*	2018
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	577	1996
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	573	2007
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	467	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	446	2011
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	403	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	385	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	384	2016
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	378	1996
Density forecasting for long-term peak electricity demand RJ Hyndman, S Fan IEEE Transactions on Power Systems 25 (2), 1142-1153, 2009	289	2009
Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011	268	2011

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