I’ve tried my hand at writing for the wider public with an article for The Conversation based on my paper with Di Cook and Jeremy Forbes on “Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016”. With the next Australian election taking place tomorrow, we thought it was timely to put out a publicly accessible version of our analysis.
- Shanika L Wickramasuriya, George Athanasopoulos, Rob J Hyndman (2019) Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization. J. American Statistical Association, 114(526), 804-819. Abstract DOI pdf
- Alexander Severinsen, Rob J Hyndman (2019) Quantification of energy savings from energy conservation measures in buildings using machine learning. In: ECEEE Summer Study Proceedings. Presqu'île de Giens, France. 3-8 June 2019. Abstract Online pdf
- Spyros Makridakis, Rob J Hyndman, Fotios Petropoulos (2019) Forecasting in social settings: the state of the art. International Journal of Forecasting, to appear. Abstract pdf
- Jeremy Forbes, Dianne Cook, Rob J Hyndman (2019) Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016. Abstract pdf