Decathlon is a two-day track and field competition in which athletes com- pete in 10 different disciplines placed in an invariant order. In this work we propose a co-clustering method using a generalization of the Bayesian matrix-variate re- gression model, in which both athletes and disciplines are grouped according to the observed data. Specifically, we describe the model and briefly outline the inferen- tial strategy, based on a Gibbs sampling algorithm. The model provides powerful insights that can be used by coaches and athletes to improve their performances.

Double clustering with a matrix-variate regression model: finding groups of athletes and disciplines in decathlon’s data

Mattia Stival
;
Manuela Cattelan
;
Mauro Bernardi
;
Petros Dellaportas
2022

Abstract

Decathlon is a two-day track and field competition in which athletes com- pete in 10 different disciplines placed in an invariant order. In this work we propose a co-clustering method using a generalization of the Bayesian matrix-variate re- gression model, in which both athletes and disciplines are grouped according to the observed data. Specifically, we describe the model and briefly outline the inferen- tial strategy, based on a Gibbs sampling algorithm. The model provides powerful insights that can be used by coaches and athletes to improve their performances.
2022
Book of Short Papers SIS 2022
SIS2022 - 51ST SCIENTIFIC MEETING OF THE ITALIAN STATISTICAL SOCIETY
9788891932310
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3460296
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