Program
Tuesday 11 February 2025: Introduction to Bayesian Inference
- Principles of Bayesian Inference
- Markov Chain Monte Carlo Simulations
- Monitoring Mixing and Convergence
- Posterior Summaries
Wednesday 12 February 2025: Semiparametric Regression with Structured Additive Predictors
- Penalized Spline Smoothing
- A Generic Basis Function Framework
- Spatial Smoothing
- Random Effects Models
- Hyperpriors for the Smoothing Parameter
- Interactions and Identification
Thursday 13 February 2025: Distributional Regression Models
- Generalized Additive Models for Location, Scale and Shape
- Applications with Continuous, Discrete and Multivariate Responses
- Other Frameworks for Distributional Regression
Course Materials: https://github.com/liesel-devs/florence-2025
Ultimo aggiornamento
24.01.2025