A comparison of truncated and time-weighted Plackett-Luce models for probabilistic forecasting of Formula One results
type: Item
instance of: scholarly article
title: A comparison of truncated and time-weighted Plackett-Luce models for probabilistic forecasting of Formula One results
zbMATH Open document ID: 1407.62449
DOI: 10.1214/17-BA1048
author: Daniel A. Henderson
author: Liam J. Kirrane
published in: Bayesian Analysis
publication date: 2018-12-06T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ba/1488250819
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 6989951
zbMATH Keywords: Bayesian inference
zbMATH Keywords: Gibbs sampling
zbMATH Keywords: latent variable models
zbMATH Keywords: permutations
zbMATH Keywords: ranks
zbMATH Keywords: sport
zbMATH Keywords: forecasting
MaRDI profile type: Publication
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OpenAlex ID: W2592458870
description: scientific article; zbMATH DE number 6989951