Lambert B. A Student’s Guide to Bayesian Statistics

Sage, 2018. — 682 p.Publisher Note
Title Page
Copyright Page
AcknowledgementsOnline resources
Acknowledgements
About the Author
How Best to use this BookAn Introduction to Bayesian InferenceThe Subjective Worlds of Frequentist and Bayesian Statistics
Probability – The Nuts and Bolts of Bayesian InferenceUnderstanding the Bayesian FormulaLikelihoods
Priors
The Devil is in the Denominator
The Posterior – The Goal of Bayesian InferenceAnalytic Bayesian MethodsAn Introduction to Distributions for the Mathematically Uninclined
Conjugate priors
Evaluation of model fit and hypothesis testing
Making Bayesian analysis objective?A practical guide to doing real-life Bayesian analysis: computational BayesLeaving conjugates behind: Markov chain Monte Carlo
Random Walk Metropolis
Gibbs sampling
Hamiltonian Monte Carlo
StanHierarchical models and regressionHierarchical models
Linear regression models
Generalised linear models and other animals