JSM2025
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Contributed Papers

Advances in Variable Selection

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-202B Music City Center
Tasneem Zaihra RizviChair
Section on Statistical Learning and Data Science

7 Presentations

Comparing Feature Selection Methods in Clinical Data Modeling: LASSO and Stepwise Regression
2:05 PM - 2:20 PM
Co-authors: Yumeng Wang, Daniel Einhorn (Corcept Therapeutics Inc.), Yumeng Wang, Cristina Tudor (Corcept Therapeutics Inc.)
Lassostepwise regressionsimulationhypercortisolism
Fractional Ridge Regression: A New Perspective on Shrinkage Regression and Variable Selection
2:20 PM - 2:35 PM
Co-authors: Sihyung Park, Sihyung Park, Leonard Stefanski (North Carolina State University)
Shrinkage RegressionRegularizationVariable SelectionSparse Modeling
Robust Bayesian Elastic Net with Spike-and-Slab Priors
2:35 PM - 2:50 PM
Co-authors: Xi Lu (UH), Cen Wu (Kansas State University), Xi Lu (UH), Jie Ren (Indiana University School of Medicine), Shuangge Ma
robust Bayesian elastic netMarkov Chain Monte Carlorobust Bayesian variable selectionspike-and-slab priorsrobust regularizationBayesian inference analysis
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
2:50 PM - 3:05 PM
Co-authors: Jingbo Liu (UIUC), Jingbo Liu (UIUC)
debiased Lassoinference in high-dimensional regression modelsknockoffsfalse discovery rateuniversitysmall ball probability
Using sufficiency and sparsity for more powerful controlled variable selection in the linear model
3:05 PM - 3:20 PM
Co-authors: Souhardya Sengupta (Harvard University), Lucas Janson (Harvard University), Souhardya Sengupta (Harvard University)
Variable selectionWeighted multiple testingSparsityFamilywise error rateFalse discovery rate
Variable Selection in Multi-State Models of Correlated Data: An Application to COVID-19 Vaccination
3:20 PM - 3:35 PM
Co-authors: Jason Mao, Yang Li (Indiana University Purdue University Indianapolis), Jason Mao, Wanzhu Tu (Indiana University School of Medicine)
Multi-state ModelVariable SelectionCorrelated dataCOVID-19EHR Data
Variable Selection in Partial Linear Models
3:35 PM - 3:50 PM
Co-authors: Tathagata Dutta (Michigan State University), Tathagata Dutta (Michigan State University), Shrijita Bhattacharya (Michigan State University), Tapabrata Maiti (Michigan State University)
Partial Linear Models (PLM)Variational Bayes(VB)Neural Network(NN)Spike-and-SlabVariable Selection
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