Skip to main content
Menu
Student Resources
Help
Access Codes
Create an account
Login
Access
*
*
New User?
Request new password
Create a new account
×
×
×
A Student’s Guide to Bayesian Statistics
by
Ben Lambert
Toggle nav
Student Resources
How to best use this book
The subjective worlds of Frequentist and Bayesian statistics
Author videos
Answers to Problem Sets
Probability - the nuts and bolts of Bayesian inference
Author videos
Answers to problem sets
Likelihoods
Author videos
Answers to problem sets
Priors
Author videos
Answers to problem sets
The devil is in the denominator
Author videos
Answers to problem sets
The posterior - the goal of Bayesian inference
Author videos
Answers to problem sets
An introduction to distributions for the mathematically uninclined
Author videos
Answers to problem sets
Conjugate priors
Author videos
Answers to problem sets
Evaluation of model fit and hypothesis testing
Author videos
Answers to problem sets
Making Bayesian analysis objective?
Author videos
Answers to problem sets
Leaving conjugates behind: Markov Chain Monte Carlo
Author videos
Answers to problem sets
Random Walk Metropolis
Author videos
Answers to problem sets
Gibbs sampling
Author videos
Answers to problem sets
Hamiltonian Monte Carlo
Author videos
Answers to problem sets
Stan
Author videos
Answers to problem sets
Hierarchical models
Author videos
Answers to problem sets
Linear regression models
Author videos
Answers to problem sets
Generalised linear models and other animals
Author videos
Answers to problem sets
Author videos
Click on the captions to see the videos
What is a posterior predictive check and how is it useful?
Video of What is a posterior predictive check and why is it useful?
What is meant by overfitting? (2 videos)
Video of What is meant by overfitting?
Video of What is meant by overfitting?
The ideal measure of a model’s predictive fit
Video of The ideal measure of a model's predictive fit
Explaining Kullback-Liebler divergence through secret codes
Video of Explaining the Kullback-Liebler divergence through secret codes
Evaluating model fit through AIC, DIC, WAIC and LOO-CV
Video of Evaluating model fit through AIC, DIC, WAIC and LOO-CV
Introducing Bayes factors and marginal likelihoods
Video of Introducing Bayes factors and marginal likelihoods