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, University of AucklandEmail verificata su auckland.ac.nz
Heather BoothAustralian National UniversityEmail verificata su anu.edu.au
Jan VerbesseltBELSPO, and Wageningen UniversityEmail verificata su belspo.be
Bircan ErbasLa Trobe UniversityEmail verificata su latrobe.edu.au
Yeasmin KhandakarSenior Data Scientist, TransurbanEmail verificata su officeworks.com.au
Souhaib Ben TaiebMBZUAI, UMONSEmail verificata su mbzuai.ac.ae
Fotios PetropoulosProfessor of Management Science, University of BathEmail verificata su bath.ac.uk
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of SydneyEmail verificata su sydney.edu.au
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityEmail verificata su uok.edu.pk
Darius CulvenorEnvironmental Sensing SystemsEmail verificata su sensingsystems.com.au
Yanfei KangSchool of Economics and Management, Beihang UniversityEmail verificata su buaa.edu.cn
Sevvandi KandanaarachchiCSIRO's Data61Email verificata su data61.csiro.au

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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	8981	2018
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	7843*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	6389	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	5009	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	2143	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	1952	2010
forecast: Forecasting functions for time series and linear models RJ Hyndman	1819*	2021
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1647	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1450	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	1419	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	1282	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	970	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	961	2007
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	886	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	861	2010
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	859	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	740	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	699	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	612	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	612	2011

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