Dynamic paired comparison models with stochastic variances

DOI10.1080/02664760120059219zbMath0991.62048OpenAlexW2156318148MaRDI QIDQ4540896

Mark E. Glickman

Publication date: 28 July 2002

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

Full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.5316

Mathematics Subject Classification ID

Paired and multiple comparisons; multiple testing (62J15)

Related Items (11)

Markov models of dependence in longitudinal paired comparisons: an application to course design ⋮ Tracking a multitude of abilities as they develop ⋮ Bayesian locally optimal design of knockout tournaments ⋮ An empirical Bayes model for time-varying paired comparisons ratings: who is the greatest women's tennis player? ⋮ Elo ratings and the sports model: a neglected topic in applied probability? ⋮ How often does the best team win? A unified approach to understanding randomness in North American sport ⋮ The efficacy of league formats in ranking teams ⋮ The ranking lasso and its application to sport tournaments ⋮ A combinatorial approach in predicting the outcome of tennis matches ⋮ A Continuous Model For Ratings ⋮ Models for paired comparison data: a review with emphasis on dependent data

Cites Work

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• Extended Use of Paired Comparison Models, with Application to Chess Rankings
• A State-Space Model for National Football League Scores
• On Extending the Bradley-Terry Model to Incorporate Within-Pair Order Effects
• State-space stochastic volatility models: A review of estimation algorithms
• Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems
• Bayesian Vector Autoregressions with Stochastic Volatility
• Likelihood analysis of non-Gaussian measurement time series
• Contemporary Bayesian Econometrics and Statistics

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