Rob J Hyndman

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Soavtorji

George AthanasopoulosMonash UniversityPreverjeni e-poštni naslov na monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityPreverjeni e-poštni naslov na monash.edu
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie UniversityPreverjeni e-poštni naslov na mq.edu.au
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Christoph BergmeirUniversity of GranadaPreverjeni e-poštni naslov na monash.edu
Keith OrdEmeritus Professor of Business Statistics, Georgetown UniversityPreverjeni e-poštni naslov na georgetown.edu
Mitchell O'Hara-WildPhD Candidate, Monash UniversityPreverjeni e-poštni naslov na mitchelloharawild.com
Spyros MakridakisUniversity of Nicosia, Inst. For the Future (IFF), the Makridakis Open Forecast. Center MOFCPreverjeni e-poštni naslov na UNIC.ac.cy
Heather BoothAustralian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Jan VerbesseltBELSPO, and Wageningen UniversityPreverjeni e-poštni naslov na belspo.be
Shanika WickramasuriyaLecturer, Monash UniversityPreverjeni e-poštni naslov na monash.edu
Yeasmin KhandakarSenior Data Scientist, TransurbanPreverjeni e-poštni naslov na officeworks.com.au
Bircan ErbasLa Trobe UniversityPreverjeni e-poštni naslov na latrobe.edu.au
Fotios PetropoulosProfessor of Management Science, University of BathPreverjeni e-poštni naslov na bath.ac.uk
Souhaib Ben TaiebMBZUAI, UMONSPreverjeni e-poštni naslov na mbzuai.ac.ae
Anastasios PanagiotelisAssociate Professor of Business Analytics, University of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Dr. Farah YasmeenAssistant Professor Statistics Karachi UniversityPreverjeni e-poštni naslov na uok.edu.pk
Darius CulvenorEnvironmental Sensing SystemsPreverjeni e-poštni naslov na sensingsystems.com.au
Sevvandi KandanaarachchiCSIRO's Data61Preverjeni e-poštni naslov na data61.csiro.au
Yanfei KangSchool of Economics and Management, Beihang UniversityPreverjeni e-poštni naslov na buaa.edu.cn

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Rob J Hyndman

Professor of Statistics, Monash University

Preverjeni e-poštni naslov na monash.edu - Domača stran

Forecasting Time series Statistics Exploratory data analysis Anomaly detection


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	9844	2018
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	7975*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	6713	2006
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	5267	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	2243	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	2038	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1655	2006
forecast: Forecasting functions for time series and linear models RJ Hyndman	1647*	2021
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	1510	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	1455	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	1361	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	1036	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	997	2007
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13, 335-364, 2006	932	2006
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	890	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	879	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	761	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	653	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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