Variable Selection with High-Dimensional Data

Sun, Aug 2, 4:00 PM - 5:50 PM Room CC-212 Thomas M. Menino Convention & Exhibition Center

Subhadeep PaulChair

Section on Statistical Learning and Data Science

7 Presentations

A Novel Approach to Instrumental Variable Estimation: TEAM-IV

4:05 PM - 4:20 PM

Steven Alberding

Instrumental Variables Causal Inference Invalid Instruments Exclusion Restriction Violation Robust IV Estimation Penalized Regression

Adaptive Hybrid Relaxed Lasso Regression

4:20 PM - 4:35 PM

Hasthika Rupasinghe (Appalachian State University)

Co-authors: Lasanthi Pelawa Watagoda (Appalachian State University), Alan Arnholt (Appalachian State University)

Variable Selection Penalized Regression Adaptive Lasso Relaxed Lasso Oracle Property High-Dimensional Data

Adaptive Interval Selection for Near-Infrared Spectra via Fused Lasso and Backward Interval PLS

4:35 PM - 4:50 PM

Tongyuan Bai (Beijing Normal–Hong Kong Baptist University)

Co-authors: Xiaoling Peng (Beijing Normal–Hong Kong Baptist University), Baojun Xu (Beijing Normal-Hong Kong Baptist University), Ping He (Beijing Normal–Hong Kong Baptist University)

Chemometrics Multivariate calibration Adaptive spectral segmentation Structured variable selection Fused lasso Structural sparsity

Collapsing Categories for Regression with Mixed Predictors

4:50 PM - 5:05 PM

Chaegeun Song

Co-authors: Lingzhou Xue (Pennsylvania State University), Zhong Zheng (Pennsylvania State University), Bing Li (The Pennsylvania State University)

Categorical variable Regression Fused LASSO KKT conditio Subdifferential

Deep Neural Networks for Variable Selection with Multiple Prior Sources

5:05 PM - 5:20 PM

Shiyuan Zhang (University of Memphis)

Co-authors: Yu Jiang (University of Memphis), Yuanjin Liu (Maryville University of Saint Louis), Jiahao Yu (University of Memphis), Yuan Huang (Yale University), Shuangge Ma

high-dimensional data variable selection deep neural networks feature gating knowledge-informed learning prior-weighted regularization

Scalable Bayesian LASSO for High-Dimensional Spatial Variable Selection

5:20 PM - 5:35 PM

Rachita Mondal (Michigan State University)

Co-authors: Siddhartha Nandy (Case Western Reserve University), Shrijita Bhattacharya (Michigan State University), Tapabrata Maiti (Michigan State University)

Ising model Laplace prior Spatial regression Variational Bayes

SUNI: Soft Univariate-Guided Sparse Regression

5:35 PM - 5:50 PM

Zhihan Chen

Co-authors: Boxiang Wang (University of Iowa)

lasso variable selection sign consistency model interpretability univariate guidance