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Centered versus non-centered hierarchical models
The distribution zoo app to help to understand and use probability distributions
How to code up a model with discrete parameters in Stan
How to write your first Stan program
How to code up a bespoke probability density in Stan
What are divergent iterations and what to do about them?
Introducing Bayes factors and marginal likelihoods
Using a Bayes box to calculate the denominator
Bob’s bees: the importance of using multiple bees (chains) to judge MCMC convergence
An introduction to continuous conditional probability distributions
An introduction to discrete conditional probability distributions.
Explaining the intuition behind Bayesian inference
Estimating the posterior predictive distribution by sampling
The importance of step size for Random Walk Metropolis
An introduction to inverse transform sampling
The ideal measure of a model's predictive fit
Explaining the Kullback-Liebler divergence through secret codes
An introduction to numerical integration through Gaussian quadrature
An introduction to Jeffreys priors - 3
Why we typically use dependent sampling to sample from the posterior
How to derive a Gibbs sampling routine in general
Why is it difficult to calculate the denominator of Bayes’ rule in practice?
How to do integration by sampling
Using the Random Walk Metropolis algorithm to sample from a cow surface distribution