3 citations · 4 across the 5 of their papers we have counts for
8 papers
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 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.…