collaborators

5 papers

stat.AP2026

Longitudinal Bayesian networks for assessing team performance in the National Basketball Association

Gabriel Calvo, Francisco Palmí-Perales, Carmen Armero +1

Assessing the performance of a basketball team requires the consideration of multiple sources of information. In recent years, the volume and the quality of data generated in sport…

stat.AP2026

Predicting subjective rage and facial expressions in human driving: A Bayesian network approach with beta-distributed nodes

Zaïra Méndez-Porcar, Francisco Palmí-Perales, Gabriel Calvo +2

A Bayesian network framework is proposed for modelling unit-bounded continuous variables using conditional beta-distributed nodes within a fully Bayesian inference setting. The mod…

stat.AP2026

Bayesian network approach to building an affective module for a driver behavioural model

Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales +4

This paper focuses on the affective component of a driver behavioural model (DBM). This component specifically models some drivers' mental states such as mental load and active fat…

stat.AP2025

Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach

Gabriel Calvo, Carmen Armero, Luigi Spezia

Sports data analytics is a relevant topic in applied statistics that has been growing in importance in recent years. In basketball, a player or team has a hot hand when their perfo…

stat.AP2025

Bayesian network approach to building an affective module for a driver behavioural model

Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales +3

This paper focuses on the affective component of a Driver Behavioural Model (DBM), specifically modelling some driver's mental states, such as mental load and active fatigue, which…