The International Association for Official Statistics (IAOS) is pleased to announce the results of the 2021 IAOS Young Statisticians Prize. Once again, the standard was very high and we would like to thank all those who entered.
The winner will present their paper at a mutually agreed international conference. Winning papers are also eligible to be published in a future issue of the SJIAOS.
The IAOS would like to congratulate the winners and thank all entrants. We would also like to thank the International Judging panel for their efforts.
The three winning papers and their authors are:
- Elham Sirag and Mr. Gautier Gissler (Statistics Canada): Estimating excess mortality in Canada during the COVID-19 pandemic: Statistical methods adapted for rapid response in an evolving crisis
- Kevin Kloos (Statistics Netherlands (CBS): A new generic method to improve machine learning applications in official statistics
- Mr Caio Gonçalves (João Pinheiro Foundation) and Luna Hidalgo (Brazilian Institute of Geography and Statistics (IBGE)): Model-based single-month unemployment rate estimates for the Brazilian Labour Force Survey
The special commendation for a paper from a developing nation is:
Mr. Muhammad Fajar and Mr. Zelani Nurfalah (Badan Pusat Statistik –Statistics Indonesia): Hybrid Fourier Regression-Multilayer Perceptron Neural Network for Forecasting
John Pullinger
IAOS President 2019-2021