A Student’s Guide to Bayesian Statistics

by Ben Lambert

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

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