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379 * ! Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-154A
Single and Multi-Object Regression and Clustering with Applications in Neuro-Imaging Data — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistics in Imaging, International Statistical Institute, Biometrics Section
Organizer(s): Rajarshi Guhaniyogi, Texas A & M University
Chair(s): Rajarshi Guhaniyogi, Texas A & M University
8:35 AM On Network Modularity Statistics in Connectomics and Schizophrenia
Joshua Cape, University of Pittsburgh
8:55 AM Biclustering with Feature Selection
Eric Chi, Rice University; Jason Xu, Duke University; Saptarshi Chakraborty, University of California, Berkeley; Debolina Paul, Stanford
9:15 AM Bayesian Multi-Object Regression with Applications in Multi-Modal Imaging Data
Rajarshi Guhaniyogi, Texas A & M University; Aaron Scheffler, UCSF; Rene Gutierrez, Texas A & M
9:35 AM A Bayesian Covariance Based Clustering for High-Dimensional Tensors
Aaron Scheffler, UCSF; Rene Gutierrez, UCSC; Rajarshi Guhaniyogi, Texas A & M University
9:55 AM Bayesian Network Clustering with Brain-Imaging Data
Sharmistha Guha, Texas A&M University
10:15 AM Floor Discussion