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A Student’s Guide to Bayesian Statistics
by
Ben Lambert
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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
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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
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Answers to problem sets
Conjugate priors
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Evaluation of model fit and hypothesis testing
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Making Bayesian analysis objective?
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Answers to problem sets
Leaving conjugates behind: Markov Chain Monte Carlo
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Answers to problem sets
Random Walk Metropolis
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Answers to problem sets
Gibbs sampling
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Answers to problem sets
Hamiltonian Monte Carlo
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Stan
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Hierarchical models
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Linear regression models
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Generalised linear models and other animals
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Author videos
Click on the caption to watch the video
An introduction to the Bernoulli and binomial distributions
Video of An introduction to the Bernoulli and binomial distributions
An introduction to the Poisson distribution (2 videos)
Video of An introduction to the Poisson distribution - 1
Video of An introduction to the Poisson distribution - 2
An introduction to the gamma distribution
Video of An introduction to the gamma distribution
An introduction to the Beta distribution
Video of An introduction to the Beta distribution
