gravatar

cakapourani

Chantriolnt-Andreas Kapourani

Recently Published

Variational Mixture of Gaussians
Tutorial-like document on using variational inference on a Gaussian mixture model, and show how a Bayesian treatment resolves overfitting issues present in the maximum likelihood approach.
Melissa vignette analysis
This document is a vignette for the Melissa package on analysing scBS-seq data and performing Bayesian clustering and imputation of single cell methylomes.
Melissa vignette to process files
This document is a vignette for the Melissa package on how to process raw scBS-seq data, which then can be used for the Bayesian clustering and imputation of single cell methylomes.
Vignette for BPRMeth package
This document is the vignette for the Bioconductor package BPRMeth
Variational Mixture of Bayesian Probit Regressions
Tutorial-like document on using variational approximations to perform Bayesian inference for mixture of Bernoulli Binomial probit regression models.
Variational Mixture of Bayesian Linear Regressions
Tutorial-like document on using variational approximations to perform Bayesian inference for mixture of linear regression models.
Variational Bayesian Probit Regression
Tutorial-like document on using variational approximations to perform Bayesian inference for Bernoulli/Binomial probit regression models.
Variational Bayesian Linear Regression
Tutorial-like document on using variational approximations to perform Bayesian inference for linear regression models.
Beta Binomial for overdispersion
Tutorial-like document on Beta-Binomial distribution for modelling overdispersed data, mainly arising when measuring data that have more than one source of variation.
Bayesian Binomial Probit Regression (BPR) Model
Tutorial-like document on how to perform Bayesian Binomial probit regression using the data augmentation approach and also using the MH algorithm to compute the posterior distribution.
Bayesian Binary Probit Model
Tutorial-like document on how to perform Bayesian binary probit regression using the data augmentation approach.