Van Ha Hoang

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random

Model-based clustering integrated with variable selection is a powerful tool for uncovering latent structures within complex data. However, its effectiveness is often hindered by challenges such as identifying relevant variables that define heterogeneous subgroups and handling data that are missing…