2 citations · 3 across the 9 of their papers we have counts for
10 papers
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…
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…
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…
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…
Selecting the best compositions of a wheelchair basketball team: a data-driven approach
Gabriel Calvo, Carmen Armero, Bernd Grimm +1
Wheelchair basketball, regulated by the International Wheelchair Basketball Federation, is a sport designed for individuals with physical disabilities. This paper presents a data-d…
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…
Bayes factors for longitudinal model assessment via power posteriors
Gabriel Calvo, Carmen Armero, Luigi Spezia +1
Bayes factor, defined as the ratio of the marginal likelihood functions of two competing models, is the natural Bayesian procedure for model selection. Marginal likelihoods are usu…
Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
Gabriel Calvo, Carmen Armero, Virgilio Gómez-Rubio +1
Laparoscopy is an operation carried out in the abdomen or pelvis through small incisions with external visual control by a camera. This technique needs the abdomen to be insufflate…
Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea
Gabriel Calvo, Carmen Armero, Maria Grazia Pennino +1
European sardine is experiencing an overfishing around the world. The dynamics of the industrial and artisanal fishing in the Mediterranean Sea from 1970 to 2014 by country was ass…
Bayesian longitudinal models for exploring European sardine fishing in the Mediterranean Sea
Gabriel Calvo, Carmen Armero, Maria Grazia Pennino +1
In the Mediterranean Sea, catches are dominated by small pelagic fish, representing nearly the 49\% of the total harvest. Among them, the European sardine (Sardina pilchardus) is o…