Stat8310 - Applied Bayesian Statistics
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Summary
Preface
1
Introduction
2
Week 1 — Introduction to Bayesian Thinking
3
Week 2 — Conjugate Priors and Analytical Posteriors
4
Week 3 — Monte Carlo Integration and Simulation-Based Bayesian Inference
5
Week 4 — Markov Chain Monte Carlo (MCMC) Methods
6
Week 5 — Model Checking and Comparison
7
Week 6 — Hierarchical Bayesian Models
8
Week 7 — Bayesian Decision Theory
9
Week 8 — Advanced Bayesian Computation
10
Week 9 — Bayesian Model Averaging and Ensemble Learning
11
Week 10 — Bayesian Nonparametrics
12
Week 11 — Bayesian Time Series and State-Space Models
13
Summary
References
13
Summary
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Week 11 — Bayesian Time Series and State-Space Models
References