JSM2023
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Contributed Papers

High-Dimensional Data Analysis

Tue, Aug 8, 8:30 AM
Pingzhao HuChair
Section on Statistical Learning and Data Science

7 Presentations

Partial faithfulness, model misspecification, and application in screening for high-dimensional data
8:35 AM - 8:50 AM
Jinsong Chen
Co-authors: Hua Yun Chen (University of Illinois At Chicago), Quefeng Li (University of North Carolina Chapel Hill)
High-dimensional inference for generalized linear models with hidden confounding
8:50 AM - 9:05 AM
Jing Ouyang (University of Michigan)
Co-authors: Kean Ming Tan, Gongjun Xu (University of Michigan)
High Dimensional Estimation in Multivariate Response Generalized Linear Models with Hidden Variables
9:05 AM - 9:20 AM
Inbeom Lee (Cornell University)
Co-authors: Yang Ning (Cornell University)
WITHDRAWN Signal-to-noise-ratio aware minimaxity via higher order asymptotics
9:20 AM - 9:35 AM
Co-authors: Yilin Guo (Columbia University), Haolei Weng (Michigan State University), Arian Maleki
WITHDRAWN Advances in theory and application of random projections in high-dimension problems
9:35 AM - 9:50 AM
Co-authors: Roger Zoh (Indiana University)
WITHDRAWN TEC: Tensor Ensemble Classifier for Big Data
9:50 AM - 10:05 AM
Co-authors: rejaul karim (FDA)
WITHDRAWN Online estimation of mixed hidden Markov models with state-specific penalization
10:05 AM - 10:20 AM
Co-authors: Patrick Emedom-Nnamdi (Harvard University), Jukka-Pekka Onnela

Session participants

Cheryl Brooks (AT&T Data Science and AI Research)
Participant
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