Rob J Hyndman

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George AthanasopoulosMonash UniversityEmail verificata su monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityEmail verificata su monash.edu
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneEmail verificata su unimelb.edu.au
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie UniversityEmail verificata su mq.edu.au
Keith OrdEmeritus Professor of Business Statistics, Georgetown UniversityEmail verificata su georgetown.edu
Christoph BergmeirUniversity of GranadaEmail verificata su monash.edu
Spyros MakridakisUniversity of Nicosia, Inst. For the Future (IFF), the Makridakis Open Forecast. Center MOFCEmail verificata su UNIC.ac.cy
Mitchell O'Hara-WildPhD Candidate, Monash UniversityEmail verificata su mitchelloharawild.com
Shanika WickramasuriyaLecturer, Monash UniversityEmail verificata su monash.edu
Heather BoothAustralian National UniversityEmail verificata su anu.edu.au
Jan VerbesseltBELSPO, and Wageningen UniversityEmail verificata su belspo.be
Yeasmin KhandakarSenior Data Scientist, TransurbanEmail verificata su officeworks.com.au
Bircan ErbasLa Trobe UniversityEmail verificata su latrobe.edu.au
Souhaib Ben TaiebMBZUAI, UMONSEmail verificata su mbzuai.ac.ae
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of SydneyEmail verificata su sydney.edu.au
Fotios PetropoulosProfessor of Management Science, University of BathEmail verificata su bath.ac.uk
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityEmail verificata su uok.edu.pk
Darius CulvenorEnvironmental Sensing SystemsEmail verificata su sensingsystems.com.au
Sevvandi KandanaarachchiCSIRO's Data61Email verificata su data61.csiro.au
Yanfei KangSchool of Economics and Management, Beihang UniversityEmail verificata su buaa.edu.cn

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Rob J Hyndman

Professor of Statistics, Monash University

Email verificata su monash.edu - Home page

Forecasting Time series Statistics Exploratory data analysis Anomaly detection


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	9837	2018
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	8012*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	6712	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	5256	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	2245	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	2034	2010
forecast: Forecasting functions for time series and linear models RJ Hyndman	1878*	2021
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1692	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1511	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	1463	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	1357	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	1031	2016
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	999	2007
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	928	2006
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	893	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	881	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	776	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	744	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	649	2011
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	627	2011

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