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

  • Anastasios Panagiotelis, Puwasala Gamakumara, George Athanasopoulos, Rob J Hyndman (2021) Forecast reconciliation: A geometric view with new insights on bias correction. International J Forecasting, 37(1), 343-359. Abstract DOI  pdf
  • George Athanasopoulos, Rob J Hyndman, Mitchell O'Hara‑Wild (2021) The road to recovery from COVID-19 for Australian tourism. Abstract  pdf
  • Cameron Roach, Rob J Hyndman, Souhaib Ben Taieb (2021) Nonlinear mixed effects models for time series forecasting of smart meter demand. Journal of Forecasting, to appear. Abstract DOI  pdf  code
  • Souhaib Ben Taieb, James W Taylor, Rob J Hyndman (2021) Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data. J American Statistical Association, to appear. Abstract DOI  pdf
  • Florian Eckert, Rob J Hyndman, Anastasios Panagiotelis (2021) Forecasting Swiss Exports using Bayesian Forecast Reconciliation. European Journal of Operational Research, 291(2), 693-710.. Abstract DOI  pdf  code

Recent and upcoming seminars