A Bayesian zero‐inflated Dirichlet‐multinomial regression model for multivariate compositional count data
A Bayesian zero‐inflated Dirichlet‐multinomial regression model for multivariate compositional count data
Abstract The Dirichlet-multinomial (DM) distribution plays a fundamental role in modern statistical methodology development and application. Recently, the DM distribution and its variants have been used extensively to model multivariate count data generated by high-throughput sequencing technology in omics research due to its ability to accommodate the compositional structure of …