Nodo VALENCIA – VABAR
El Grupo Valencian Bayesian Research Group, VABAR, está formado por 29 investigadores cuyo objetivo es la implantación y desarrollo de metodologías novedosas de estadística espacial y temporal en escenarios reales de tipo epidemiológico, farmacológico y medioambiental.
National Project
Project title: Bayesian models for correlated data in life sciences
Project Code: MTM2016-77501-P
Principal Investigator: Carmen Armero i Cervera
Investigadores que participan en el nodo
Universidades e Instituciones presentes en el nodo
Main lines of investigation
The current lines of research of this Node include:
- Pedigree analysis
- Approximate Bayesian Computation (ABC)
- Disease mapping and epidemiological surveillance
- Bayesian model selection and assessment
- Bayesian uncertainty quantification
- Epidemic threshold detection and epidemiological surveillance
- Experimental design
- Spatial statistics
- Bayesian inference of longitudinal data
- Bayesian joint modelling of longitudinal and survival data
- Spatio-temporal Bayesian modelling
- Modelling of compositional data
- Epidemiological modelling and simulation of vaccination strategies
- Bayesian modelling of survival data
- Species distribution modelling
- Linear mixed models
- Integrated models of capture-recapture and site occupancy
- Predictive models based on neural networks