Bayesian semiparametric regression and distributional regression models
Thomas Kneib
Georg-August-University Göttingen
11, 12 and 13 February 2025, 9:00 - 12:30 & 14:30-17:00
Abstract
This course provides an overview of key statistical modeling approaches, starting with the principles of Bayesian inference, followed by semiparametric regression with structured additive predictors, and concluding with distributional regression models. Topics include methods such as MCMC simulations, spline smoothing, and generalized additive models for location, scale, and shape, with a focus on both theory and application.
Registration
While the participation Course is free, registration is required for logistic purposes.
Please contact Prof. Leonardo Grilli - email leonardo.grilli(AT)unifi.it.
Program
Course materials and prerequisites
Venue:
The Short Course “Bayesian semiparametric regression and distributional regression models” will be held on February 11-13, 2025, at the University of Florence - Department of Statistics, Computer Science, Applications – viale G.B. Morgagni 59, Firenze (Italy).
Ultimo aggiornamento
27.01.2025