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stat.ME2026
Exploring complex dependence structures using Bayesian bi-clustering and log-linear graphical modelling
Michail Papathomas
Bayesian partitioning is utilised simultaneously on subjects and categorical variables to reveal complex dependence structures. Clusters of variables are referred to as views. Vari…
stat.ME2025
On synthetic interval data with predetermined subject partitioning, and partial control of the variables' marginal correlation structure
Michail Papathomas
A standard approach for assessing the performance of partition models is to create synthetic data sets with a prespecified clustering structure, and assess how well the model revea…