Adv. Stat. Topics B
Overview
Programme
Modules
Network analysis
Bayesian statistics
PCA and PLS
Neural networks and deep learning
Datasets
Introduction to Bayesian analysis
Bayesian statistics and inference (
Benjamin Skov Kaas-Hansen
)
To read:
Chapter 2 and Chapter 3 in
Computer Age Statistical Inference
. You could also glance at Chapters 6 and 13.
Credibility intervals, prior and posterior distributions
Bayesian classifiers
Markov-chain Monte Carlo (MCMC) estimation
Empirical Bayes estimators
R code to see Bayesian updates
in the beta-binomial model
Slides
Exercises
Claus Ekstrøm 2023