
Variational mixture of Bayesian probit regression models
This tutoriallike document shows how we can use variational inference to efficiently perform mixture of Bayesian probit regression models.

Variational mixture of Gaussians
This tutoriallike document shows how we can use variational Bayes to efficiently perform inference in a Gaussian mixture model.

Variational Bayesian linear regression model
This tutoriallike document shows how we can use variational inference to efficiently perform Bayesian linear regression.

Beta binomial for overdispersion
This tutoriallike document shows how we can account for overdispersion in biological data by using the betabinomial model and test for overdispersion using Tarone’s zstatistic.

Gibbs sampling for Bayesian binomial probit model
This tutoriallike document shows how we can perform Bayesian binomial probit regression using the data augmentation approach and using the MetropolisHastings algorithm with a multivariate Gaussian proposal distribution.