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Variational mixture of Bayesian probit regression models
This tutorial-like document shows how we can use variational inference to efficiently perform mixture of Bayesian probit regression models.
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Variational mixture of Gaussians
This tutorial-like document shows how we can use variational Bayes to efficiently perform inference in a Gaussian mixture model.
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Variational Bayesian linear regression model
This tutorial-like document shows how we can use variational inference to efficiently perform Bayesian linear regression.
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Beta binomial for overdispersion
This tutorial-like document shows how we can account for overdispersion in biological data by using the beta-binomial model and test for overdispersion using Tarone’s z-statistic.
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Gibbs sampling for Bayesian binomial probit model
This tutorial-like document shows how we can perform Bayesian binomial probit regression using the data augmentation approach and using the Metropolis-Hastings algorithm with a multivariate Gaussian proposal distribution.