You are what you vote

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.

Translations of "Forecasting: principles and practice"

There are now translations of my forecasting textbook (coauthored with George Athanasopoulos) into Chinese and Korean. The Chinese translation was produced by a team led by Professor Yanfei Kang (Beihang University) and Professor Feng Li (Central University of Finance and Economics). The following students were also involved: Cheng Fan, Liu Yu, Long Xiaoyu, Wang Xiaoqian, Zeng Jiayue, Zhang Bohan, and Zhu Shuaidong. The Korean translation was produced by Dr Daniel Young Ho Kim.

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Recent publications

  • Jeremy Forbes, Dianne Cook, Rob J Hyndman (2019) Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016. Abstract  pdf
  • Michael Hirsch, Dianne Cook, Paul Lajbcygier, Rob J Hyndman (2019) Revealing high-frequency trading provision of liquidity with visualization. In: Proceedings of the 2nd International Conference on Software Engineering and Information Management. Bali, Indonesia. 10-13 January 2019. pp. 157-165. ACM. Abstract  pdf
  • Pablo Montero-Manso, George Athanasopoulos, Rob J Hyndman, Thiyanga S Talagala (2019) FFORMA: Feature-based Forecast Model Averaging. International Journal of Forecasting, to appear. Abstract  pdf
  • Insha Ullah, Kerrie Mengersen, Rob J Hyndman, James McGree (2019) Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. Abstract  pdf

Recent and upcoming seminars

  • High-dimensional time series analysis. (17 August 2019) More info...
  • Developing good research habits. (20 March 2019) More info...
  • Feature-based forecasting algorithms for large collections of time series. (25 January 2019) More info...
  • Data visualization for functional time series. (11 December 2018) More info...