24 citations · 31 across the 11 of their papers we have counts for
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stat.ME2023★ 1 cited
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
Matthew D. Koslovsky, Andee Kaplan, Victoria A. Terranova +1
Measurement error in multinomial data is a well-known and well-studied inferential problem that is encountered in many fields, including engineering, biomedical and omics research,…
stat.ME2023★ 2 cited
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data
Matthew D. Koslovsky
The Dirichlet-multinomial (DM) distribution plays a fundamental role in modern statistical methodology development and application. Recently, the DM distribution and its variants h…