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Academic Lectures
AMS Colloquium, Friday, 9/5/25 at 3pm in Chauvenet Hall 143
Department / Organization: AMS
Speaker: Dr. Samiran Ghosh, UTSPH Houston
Title: Variable Selection in the Presence of Missing Data: A Solution via Multiple Imputation and Penalized Regression
Abstract: Missing data is ubiquitous, although the mechanisms driving the missingness patterns may vary. We propose a one-step solution that integrates Multiple Imputation with Penalized Grouped Variable Selection for identifying important features in regression settings, under the assumption that data are Missing at Random (MAR). The performance of the proposed methodology is evaluated through extensive simulations and a real-world dataset.
