Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis

DOI10.1007/s10260-020-00535-5zbMath1480.62255arXiv1909.03802OpenAlexW3041843123MaRDI QIDQ2059111

Vanessa Orani, Silvia Montagna, Raffaele Argiento

Publication date: 13 December 2021

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.03802

zbMATH Keywords

sports forecastingBayesian isotonic regressionBradley-Terry modelsconstrained B-splinesserve advantage in racquet sports

Mathematics Subject Classification ID

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

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Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis

Cites Work

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