Souhaib Ben Taieb1, Raphael Huser1, Rob J Hyndman2 and Marc G Genton1

  1. CEMSE Division, King Abdullah University of Science and Technology
  2. Monash Business School, Monash University, Clayton, Victoria, Australia.


  Tag: gams

2 posts
June 4th, 2015

Probabilistic time series forecasting with boosted additive models: an application to smart meter data

By Souhaib Ben Taieb, Raphael Huser, Rob J Hyndman and Marc G Genton

February 1st, 2012

Short-term load forecasting based on a semi-parametric additive model

Shu Fan and Rob J Hyndman Revised 10 January 2011 IEEE Transactions on Power Systems (2012), 27(1), 134-141. Abstract Short-term […]

October 3rd, 2011

Forecasting electricity demand distributions using a semiparametric additive model

Talk given at University of Melbourne, 11 October 2011. University of Adelaide, 16 March 2012 Monash University, 16 May 2012 […]

July 16th, 2011

Investigating the influence of synoptic-scale circulation on air quality using self-organizing maps and generalized additive modelling

John L Pearce, Jason Beringer, Neville Nicholls, Rob J Hyndman, Petteri Uotila, and Nigel J Tapper

Atmospheric Environment (2011), 45(1), 128-136.

The influence of synoptic-scale circulations on air quality is an area of increasing interest to air quality management in regards to future climate change. This study presents an analysis where the dominant synoptic ‘types’ over the region of Melbourne, Australia are determined and linked to regional air quality.

January 1st, 2011

Quantifying the influence of local meteorology on air quality using generalized additive modelling

John L Pearcea, Jason Beringera, Neville Nichollsa, Rob J Hyndmanb and Nigel J Tappera a School of Geography and Environmental […]

July 21st, 2010

Short-term load forecasting based on a semi-parametric additive model

Shu Fan and Rob J Hyndman 20th Australasian Universities Power Engineering Conference 5-8 December 2010, University of Canterbury, Christchurch, New […]

January 3rd, 2010

Density forecasting for long-term peak electricity demand

Rob J Hyndman and Shu Fan IEEE Transactions on Power Systems, 2010, 25(2), 1142-1153 Abstract: Long-term electricity demand forecasting plays […]

December 16th, 2005

Sensitivity of the estimated air pollution-respiratory admissions relationship to statistical model

International Journal of Environmental Health Research (2005), 15(6), 437-448. Bircan Erbas1 and Rob J Hyndman2 Department of Public Health, The […]

July 2nd, 2001

Statistical methodological issues in studies of air pollution and respiratory disease

Erbas, B. and Hyndman, R.J. (2001) 16th International Workshop on Statistical Modelling, Odense, Denmark. 2-6 July, 2001. Abstract: Epidemiological studies […]

August 9th, 2000

Seasonal adjustment methods for the analysis of respiratory disease in environmental epidemiology

Bircan Erbas1 and Rob J Hyndman2 Department of General Practice & Public Health, The University of Melbourne, VIC 3010, Australia. […]

May 16th, 2000

Generalized additive modelling of mixed distribution Markov models with application to Melbourne’s rainfall

Australian and New Zealand Journal of Statistics (2000), 42(2), 145-158. Rob J Hyndman1 and Gary K Grunwald2 Department of Econometrics […]

July 7th, 1999

Nonparametric additive regression models for binary time series

Hyndman, R.J. (1999) Published in the Proceedings, 1999 Australasian Meeting of the Econometric Society, 7-9 July 1999, University of Technology, […]