Research Research areasMethodological Statistics

Methodological Statistics

In this research area we deal with: Inferential methods for infinite populations, Statistics and information theory, Statistical models, Graphic models, Bayesian inference, Non-parametric methods for directional data, Specification and estimation of statistical models.

 

Among the specific topics, we are dealing particularly with:

• Multilevel models, categorical response models, assessment of education systems.
  People: Bacci, Grilli, Rampichini
• Longitudinal data models. Latent variable models. Item response theory models. Latent class models. Latent Markov models. Models with temporal or spatial autocorrelation structures. Social network analysis.
  People: Bacci, Cassese, Lupparelli, M.F. Marino, Pirani
• Causal inference
  People: Baccini, Doretti, Mattei, Mealli, Menchetti, Rampichini
• Statistics for spatial data, models for asymmetric data, models for count data.
  People: Bocci, Dreassi, Fusco, Rocco
• Hierarchical models, variable and model selection, non-linear models.
  People: Cassese, Dreassi, Stingo
• Inference for forensic science and likelihood-free inference methods.
  People: Cereda, Corradi,  Viscardi
• Markovian graphic models: Chain graphs, Regression graphs, Markov equivalence, Graphic models for binary data.
  People: Gottard, Lupparelli, Stingo
• Non-parametric methods for directional data: non-parametric methods for estimation problems involving directional variables. Basic examples of problems studied are the estimation of periodic density functions and the estimation of regression functions in which the response variable and/or the explanatory variable are directional variables.
  People: Panzera

People: Bacci, Bocci, Cassese, Cereda,  Corradi, Doretti, Dreassi, Fusco, Gottard, Grilli, Lupparelli, M.F. Marino, Mattei, Mealli, Menchetti, Panzera, Rampichini, Rocco, Sera, Stingo, Viscardi