Bayesian statistics

Associate Professor

keywords: Environmental statistics, Bayesian Inference, Point processes, Entropy

PhD Student

Teaching tutor

keywords: Bayesian Hierarchical Models, Environmental Epidemiology, Disease Mapping, Spatial Statistics, Exposure Assessment

Full Professor

keywords: small area estimation, hierarchical Bayes modeling, financial poverty, firms' internationalization, firm cluster

Associate Professor

keywords: Bayesian decision theory, Dynamic optimisation, Economic inequality

Fixed-term Researcher in Tenure Track L. 79/2022

keywords: Disease Mapping, Environmental Statistics, Small Area Estimation, Bayesian Hierarchical Models

Associate Professor

keywords: Hierarchical Bayesian Models, Latent Gaussian models, Environmental statistics, Disease mapping

Associate Professor

keywords: item response theory, educational assessment, computerized adaptive testing, MCMC estimation of IRT models, test

Full Professor

keywords: Latent variable models, Estimation problems in IRT models, Ability evaluation, Teachingstatistics, Data Literacy

Associate Professor

keywords: Bayesian Statistics, Computational Statistics, Penalized Inference, Model-based Clustering, Graphical models

Junior assistant professor (fixed-term)

keywords: classification, quantile function distributions, record linkage, clustering, latent variable models

Full Professor

keywords: Mixture models; Model-based clustering and classification; Data science; Statistical machine learning; Statistical

Associate Professor

keywords: Bayesian hierarchical models, Missing data and latent variables, MCMC, Hidden Markov model, Stochastic models and

Full Professor

keywords: hierarchical bayesian models, CAR models, small area estimation, optimum stratification, poverty mapping

Associate Professor

keywords: Bayesian Hierarchical models, Flexible Regression, Spatial Statistics, Spatiotemporal Smoothing, Clustering.

People