Rob J Hyndman

Twitter Gplus RSS
home
  • Blog
  • Publications
    • Books
    • Refereed papers
    • Book chapters
    • Papers in conference proceedings
    • Working papers
    • Consulting reports
    • Book reviews
    • Editorials
    • Opinion
    • Talks
    • Software
  • Research team
  • Teaching
    • Applied forecasting
  • Musings
  • About me
    • Contact details
    • Curriculum Vitae
    • In the news
    • Mathematical genealogy
    • Family
    • My Google library
    • My Amazon wish list
magnify
2012 (1)
  • Fore­cast­ing elec­tri­city demand dis­tri­bu­tions using a semi­para­met­ric addit­ive model
2011 (3)
  • Fore­cast­ing time series using R
  • Fore­cast­ing elec­tri­city demand dis­tri­bu­tions using a semi­para­met­ric addit­ive model
  • Eval­u­at­ing extreme quantile forecasts
2010 (2)
  • Demo­graphic fore­cast­ing using func­tional data analysis
  • Coher­ent func­tional fore­casts of mor­tal­ity rates and life expectancy
2009 (3)
  • Eng­lish aca­demic writing
  • Extreme fore­cast­ing
  • Stat­ist­ical sup­port for HDR students
2008 (6)
  • Fore­cast­ing and the import­ance of being uncertain
  • Build­ing R pack­ages for Windows
  • Time series and fore­cast­ing in R
  • Bag­plots, box­plots and out­lier detec­tion for func­tional data
  • Expo­nen­tial smooth­ing and non-​​​​negative data
  • Fore­cast­ing func­tional time series
2007 (4)
  • Pop­u­la­tion fore­cast­ing and the import­ance of being uncertain
  • Gradu­ation address
  • Fore­cast­ing medium– and long-​​​​term peak elec­tri­city demand
  • Stochastic pop­u­la­tion fore­casts using func­tional data models:
2006 (3)
  • Fore­cast­ing and the import­ance of being uncertain
  • Auto­matic time series forecasting
  • Optimal com­bin­a­tion fore­casts for hier­arch­ical time series

Rob J Hyndman is Pro­fessor of Stat­ist­ics at Mon­ash Uni­ver­sity, Aus­tralia.

Email: Rob.​Hyndman@​monash.​edu

Popular Posts

  • forecast package for R
  • demography: Forecasting mortality, fertility, migration and population data
  • Automatic time series forecasting: the forecast package for R
  • Forecasting time series with complex seasonal patterns using exponential smoothing
  • Optimal combination forecasts for hierarchical time series

RSS From my research blog

  • Blog aggregators 15 May 2012
  • Global Energy Forecasting Competition 14 May 2012
  • Seeking help 8 May 2012
  • Measuring time series characteristics 2 May 2012
  • LaTeX templates 9 April 2012
  • Google scholar metrics 2 April 2012
  • Forecasts and ggplot 22 March 2012
  • XeLaTeX with TeXstudio 5 March 2012
  • Data visualization 4 March 2012
  • Exponential smoothing and regressors 28 February 2012

Twitter feed

Archives

Copy­right © 2012
Rob J Hyndman