Predicting competitions by combining conditional logistic regression and subjective Bayes: an Academy Awards case study

DOI10.1214/21-AOAS1464zbMath1498.62344arXiv2001.00878OpenAlexW4200546438MaRDI QIDQ2078331

Christopher T. Franck, Christopher E. Wilson

Publication date: 28 February 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.00878

zbMATH Keywords

conditional logistic regressionprior elicitationsubjective BayesAcademy Awards

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Applications of statistics (62P99)

Uses Software

• glmnet

Cites Work

• Unnamed Item
• Estimating the dimension of a model
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Using stacking to average Bayesian predictive distributions (with discussion)
• Mixtures ofg-Priors in Generalized Linear Models
• Bayes Factors
• Dynamic Bayesian Forecasting of Presidential Elections in the States
• Uncertain Judgements: Eliciting Experts' Probabilities

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