- Sequential learning by Bayes rule
- Learning about a proportion using a discrete prior
- Brute-force Bayes computation for a single parameter
- Learning about a proportion - Part I
- Learning about a proportion - Part II
- Learning about a proportion - Part III

- Inference about a normal distribution - Part I
- Inference about a normal distribution - Part II
- Inference with Cauchy sampling
- Inference about a normal population with grouped data

- Illustration of Metropolis-Hastings random walk for Cauchy sampling
- Exponential decay regression model using LearnBayes and JAGS
- Computation of a mixture-of-exponentials sampling model
- Laplace method for zero-inflated Poisson model
- Laplace method zero-inflated model - slideshow

- Heart transplant (Poisson/Gamma) example using JAGS and LearnBayes
- Comparison of two exchangeable models
- Binomial/beta model for school testing data
- Exchangeable modeling of career trajectories

- Posterior predictive checking to check for overdispersion
- Normal testing examples
- Bayes factors to compare two binomial/beta models
- Two Bayes factor examples
- Test of the equiprobability of a multinomial vector
- Box's method for assessing data/prior conflict