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Activity Details
204 * !
Tue, 8/10/2021,
1:30 PM -
3:20 PM
Virtual
Bayesian Methods for the Analysis of Complex Brain Imaging Data — Topic-Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA), Section on Statistics in Imaging
Organizer(s): Francesco Denti, University of California, Irvine
Chair(s): Zhaoxia Yu, University of California, Irvine
1:35 PM
A Hierarchical Bayesian Approach to Predicting Time-to-Conversion to Alzheimer's Disease Using a Longitudinal Map of Cortical Thickness
Mark Fiecas, University of Minnesota ; Ning Dai, University of Minnesota; Hakmook Kang, Vanderbilt University; Galin Jones, University of Minnesota
1:55 PM
Efficient Estimation of Brain Activation with Cortical Surface Data Using EM with a Bayesian General Linear Model
Daniel Spencer, Indiana University ; Amanda Mejia, Indiana University
2:15 PM
Detecting Brain Activation via Bayesian Mixture of Horseshoe Distributions
Francesco Denti, University of California, Irvine ; Babak Shahbaba, University of California, Irvine; Michele Guindani, University of California Irvine; Ricardo Azevedo, University of California, Irvine; Sunil P. Gandhi, University of California, Irvine
2:35 PM
Bayesian Non-Homogeneous Hidden Markov Models for Time-Varying Functional Connectivity
Jaylen Lee, University of California, Irvine ; Michele Guindani, University of California Irvine; Marina Vannucci, Rice; Ryan Warnick, Rice University
2:55 PM
Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data
Laura D'Angelo, University of Padova ; Michele Guindani, University of California Irvine; Antonio Canale, University of Padova; Zhaoxia Yu, University of California, Irvine
3:15 PM
Floor Discussion
