Course materials

Week 1

Syllabus

Course intro

Code for video 2

Components of a Bayesian model

Week 2

Sampling the posterior

Sampling practice (SR2 ch3)

Code for video 3

Week 3

Code for video 4

Code for video 5

Week 4

Code for video 6

Code for video 7

Code template for chapter 7

Week 5

Code for video 8

Markov chain Monte Carlo

Week 6

Code for video 9

Code for video 10

Poisson GLM

Priors for Poisson

Template for prior predictive distributions

Week 7

Code for video 11

Code for video 12

Reed frog models

HW7