Call for papers: Innovations in hierarchical forecasting

There is a new call for papers for a special issue of the International Journal of Forecasting on “Innovations in hierarchical forecasting”.

Guest editors: George Athanasopoulos, Rob J Hyndman, Anastasios Panagiotelis, and Nikolaos Kourentzes.

Submission deadline: 31 August 2021.

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Co-authorships for sale

This is an interesting development! How many papers are published by bogus authors, and what is the going price for a coauthorship? Needless to say, this is appalling and contrary to every academic integrity policy I’ve seen. See the Monash authorship policy for example. Dear Hyndman, Rob J. Hope you are doing well. I write this letter on behalf of authors seeking to co-publish. We have seen your previous works (https://www.

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Contraceptive forecasting competition

Here’s an interesting new forecasting competition that came via my inbox this week. Contraceptive access is vital to safe motherhood, healthy families, and prosperous communities. Greater access to contraceptives enables couples and individuals to determine whether, when, and how often to have children. In low- and middle-income countries (LMIC) around the world, health systems are often unable to accurately predict the quantity of contraceptives necessary for each health service delivery site, in part due to insufficient data, limited staff capacity, and inadequate systems.

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Recent papers

  • Rob J Hyndman (2021) Quantile forecasting with ensembles and combinations. Chapter in Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning, eds. Gilliland, Tashman & Sglavo. pp.371-375, John Wiley & Sons. Abstract Amazon  pdf  code
  • Rob J Hyndman, Yijun Zeng, Han Lin Shang (2021) Forecasting the old-age dependency ratio to determine a sustainable pension age. Australian & New Zealand Journal of Statistics, to appear. Abstract  pdf  code
  • Sevvandi Kandanaarachchi, Rob J Hyndman (2021) Dimension reduction for outlier detection using DOBIN. J Computational & Graphical Statistics, 30(1), 204-219. Abstract DOI  pdf  code
  • Bahman Rostami-Tabar, Mohammad M Ali, Tao Hong, Rob J Hyndman, Michael D Porter, Aris Syntetos (2021) Forecasting for Social Good. International Journal of Forecasting, to appear. Abstract  pdf
  • Fan Cheng, Rob J Hyndman, Anastasios Panagiotelis (2021) Manifold learning with approximate nearest neighbours. Abstract  pdf  code

Recent and upcoming seminars