STAT415 Handouts

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

Table of contents

Preface

STAT415 Handouts

Author

Kevin Ross

Published

Mar 6, 2023

Preface

Handouts containing examples, exercises, and notes covering selected topics from Cal Poly STAT 415.

1 Introductory Activity