11 citations · 17 across the 11 of their papers we have counts for
11 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 inference for case-control point pattern data in spatial epidemiology with the \texttt{inlabru} R package
Francisco Palmí-Perales, Finn Lindgren, Virgilio Gómez-Rubio
The analysis of case-control point pattern data is an important problem in spatial epidemiology. The spatial variation of cases if often compared to that of a set of controls to as…
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…
Spatial similarity index for scouting in football
Virgilio Gómez-Rubio, Jesús Lagos, Francisco Palmí-Perales
Finding players with similar profiles is an important problem in sports such as football. Scouting for new players requires a wealth of information about the available players so t…
Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls
P. Escobar-Hernández, A. López-Quílez, F. Palmí-Perales +1
Multivariate spatial disease mapping has become a pivotal part of everyday practice in social epidemiology. Despite the existence of several specifications for the relation between…
Bayesian Inference for Multivariate Spatial Models with R-INLA
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S Bivand +2
Bayesian methods and software for spatial data analysis are generally now well established in the scientific community. Despite the wide application of spatial models, the analysis…
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Francisco Palmi-Perales, Virgilio Gomez-Rubio, Miguel A. Martinez-Beneito
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with package INLA for Bayesian inference.…
Approximate Bayesian inference for multivariate point pattern analysis in disease mapping
Francisco Palmi-Perales, Virgilio Gomez-Rubio, Gonzalo Lopez-Abente +3
We present a novel approach for the analysis of multivariate case-control georeferenced data using Bayesian inference in the context of disease mapping, where the spatial distribut…
Spatial Models with the Integrated Nested Laplace Approximation within Markov Chain Monte Carlo
Virgilio Gómez-Rubio, Francisco Palmí-Perales
The Integrated Nested Laplace Approximation (INLA) is a convenient way to obtain approximations to the posterior marginals for parameters in Bayesian hierarchical models when the l…