References
STAT415 Handouts
Preface
1
Introductory Activity
2
Introductory Example
3
Ideas of Bayesian Reasoning
4
Interpretations of Probability and Statistics
5
Bayes Rule
6
Introduction to Estimation
7
Introduction to Inference
8
Introduction to Inference for a Population Mean
9
Comparing Bayesian and Frequentist Analysis
10
Introduction to Prediction
11
Predictive Tuning and Checking
12
Beta-Binomial Model
13
Considering Prior Distributions
14
Introduction to Posterior Simulation
15
Bayesian Analysis of Poisson Count Data
16
Normal-Normal Model
17
Introduction to Multi-Parameter models
18
Bayesian Analyis of a Numerical Variable
19
More Bayesian Analyis of a Numerical Variable
20
Comparing Two Means
21
Introduction to Markov Chain Monte Carlo (MCMC) Simulation
22
Some Diagnostics for MCMC Simulation
23
Bayesian Simple Linear Regression Model
24
Introduction to Bayesian Hierarchical Models
25
Introduction to Bayesian Hierarchical Linear Models
26
Naive Bayes Classification
27
Introduction to Bayesian Model Comparison
References
References
Doing Bayesian Data Analysis
. 2015. Elsevier.
https://doi.org/10.1016/c2012-0-00477-2
.
Johnson, Alicia A., Miles Q. Ott, and Mine Dogucu. 2022.
“Bayes Rules!”
January.
https://doi.org/10.1201/9780429288340
.
27
Introduction to Bayesian Model Comparison