A comparison of truncated and time-weighted Plackett-Luce models for probabilistic forecasting of Formula One results

DOI10.1214/17-BA1048zbMath1407.62449OpenAlexW2592458870MaRDI QIDQ1631548

Daniel A. Henderson, Liam J. Kirrane

Publication date: 6 December 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1488250819

zbMATH Keywords

permutationssportranksforecastingBayesian inferenceGibbs samplinglatent variable models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Applications of statistics (62P99)

Related Items (4)

Estimating the ordering of variables in a VAR using a Plackett-Luce prior ⋮ On Bayesian inference for the extended Plackett-Luce model ⋮ Remarkable properties for diagnostics and inference of ranking data modelling ⋮ Estimating the number of clusters in a ranking data context

Cites Work

• Power-weighted densities for time series data
• The relationship between Luce's choice axiom, Thurstone's theory of comparative judgment, and the double exponential distribution
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• MM algorithms for generalized Bradley-Terry models.
• Theory and applications of proper scoring rules
• Marginal Likelihood from the Gibbs Output
• Marginal Likelihood Estimation via Power Posteriors
• Hierarchical Models for Permutations
• Bayes Factors
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A comparison of truncated and time-weighted Plackett-Luce models for probabilistic forecasting of Formula One results