Dal 30 settembre al 4 ottobre 2019 si terrà presso il Dipartimento di Scienze del Sistema Nervoso e del Comportamento, Cascina Cravino (Aula informatizzata), in via Agostino Bassi, 21 a Pavia il corso”2nd international summer school – Introduction to Bayesian Data Analysis with Stan”.
Relatori saranno il Prof. Leonardo Egidi e Prof. Gaia Di Credico (Università di Trieste). Il corso è articolato in lezioni teoriche ed esercitazioni pratiche al computer usando Rstan. Le iscrizioni devono essere fatte entro 13 settembre 2019 (la REGISTRAZIONE è stata chiusa).
Il corso ha una durata di 5 giorni durante i quali verranno approfonditi i seguenti argomenti:
GIORNO 1: Foundations of Bayesian inference in theory and practice
GIORNO 2: Bayesian applied regression models
GIORNO 3: Model checking, model comparison, and model selection/averaging
GIORNO 4: Hierarchical/Multilevel modeling
GIORNO 5: Hierarchical/Multilevel modeling
Leonardo Egidi is a postdoctoral researcher at the Department of Business, Economics, Mathematics and Statistics (DEAMS) of the University of Trieste, professor of the course Bayesian Statistics, and teaching assistant of the course Statistical Methods for Data Science in the same university. He received his PhD in Statistics at the Department of Statistical Sciences of the University of Padova. His research mainly focuses on both theoretical and applied Bayesian statistics, with a particular attention to mixture models, robust priors, relabelling algorithms and hierarchical models for sports data, such as football and volleyball. He is an R packages developer and he also provides statistical consultancy to small firms, hospitals
and medical departments. He has been elected in the board of the young section of the Italian Statistical Society (ySIS).
Gioia Di Credico is a postdoctoral researcher at the Department of Business, Economics, Mathematics and Statistics (DEAMS) of the University of Trieste, and teaching assistant of the course Bayesian Statistics in the same university. She received her PhD in Statistics at the Department of Statistical Science of the University of Padova. Her work mainly concentrates on the development and application of Bayesian statistical methods in epidemiology. It focuses on generalised linear models with splines, variable selection techniques and Bayesian hierarchical models.