Technical Program

TH1-4: Bayesian Bounds for Stochastic Signal Recovery I

Session Type: Virtual
Time: Thursday, November 5, 08:00 - 09:20
Virtual Session: View on Virtual Platform
Location: Room 4
Session Chairs: Alex Dytso, Princeton University, Michael Fauss, Princeton University and Vincent Poor, Princeton University
 
TH1-4-1: Bayesian Cramer-Rao Bound for Estimation After Model Selection
         Nadav Harel; Ben Gurion University of the Negev
         Tirza Routtenberg; Ben Gurion University of the Negev
 
TH1-4-2: Hybrid Cramér-Rao Inequality via Information Geometry
         Kumar Vijay Mishra; United States Army Research Laboratory
         M. Ashok Kumar; United States Army Research Laboratory
 
TH1-4-3: A Bayesian lower bound for parameters with bounded support priors
         Raksha Ramakrishna; Arizona State University
         Anna Scaglione; Arizona State University
 
TH1-4-4: Bayesian Fisher Information, Shannon Information, and ROC Analysis for Classification Tasks
         Eric Clarkson; University of Arizona