Rob J Hyndman 个人学术档案

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George AthanasopoulosMonash University在 monash.edu 的电子邮件经过验证
Ralph SnyderAdjuct Associate Professor, Monash University在 monash.edu 的电子邮件经过验证
Kate Smith-MilesProfessor of Applied Mathematics, The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie University在 mq.edu.au 的电子邮件经过验证
Keith OrdEmeritus Professor of Business Statistics, Georgetown University在 georgetown.edu 的电子邮件经过验证
Christoph BergmeirUniversity of Granada在 monash.edu 的电子邮件经过验证
Spyros MakridakisUniversity of Nicosia, Inst. For the Future (IFF), the Makridakis Open Forecast. Center MOFC在 UNIC.ac.cy 的电子邮件经过验证
Mitchell O'Hara-WildPhD Candidate, Monash University在 mitchelloharawild.com 的电子邮件经过验证
Heather BoothAustralian National University在 anu.edu.au 的电子邮件经过验证
Jan VerbesseltAssociate Professor, Wageningen University在 wur.nl 的电子邮件经过验证
Bircan ErbasLa Trobe University在 latrobe.edu.au 的电子邮件经过验证
Yeasmin KhandakarSenior Data Scientist, Transurban在 officeworks.com.au 的电子邮件经过验证
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, Belgium在 umons.ac.be 的电子邮件经过验证
Shanika WickramasuriyaLecturer, University of Auckland在 auckland.ac.nz 的电子邮件经过验证
Fotios PetropoulosProfessor of Management Science, University of Bath在 bath.ac.uk 的电子邮件经过验证
Dr. Farah YasmeenAssistant Professor Statistics Karachi University在 uok.edu.pk 的电子邮件经过验证
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of Sydney在 sydney.edu.au 的电子邮件经过验证
Darius CulvenorEnvironmental Sensing Systems在 sensingsystems.com.au 的电子邮件经过验证
Yanfei KangSchool of Economics and Management, Beihang University在 buaa.edu.cn 的电子邮件经过验证
Sevvandi KandanaarachchiCSIRO's Data61在 data61.csiro.au 的电子邮件经过验证

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Rob J Hyndman

Professor of Statistics, Monash University

在 monash.edu 的电子邮件经过验证 - 首页

Forecasting Time series Statistics Exploratory data analysis Anomaly detection


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	8397	2018
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	7684*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	6173	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	4842	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	2059	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	1889	2010
forecast: Forecasting functions for time series and linear models RJ Hyndman	1777*	2021
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1594	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1421	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	1384	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	1228	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	945	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	936	2016
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	860	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	846	2010
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	839	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	713	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	672	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	597	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	593	2011

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