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

ver todos los miembros

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