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math.ST2023
Identifiability and Falsifiability: Two Challenges for Bayesian Model Expansion
Collin Cademartori
We study the identifiability of parameters and falsifiability of predictions under the process of model expansion in a Bayesian setting. Identifiability is represented by the close…
math.ST2023★ 1 cited
A Non-asymptotic Analysis of Generalized Approximate Message Passing Algorithms with Right Rotationally Invariant Designs
Collin Cademartori, Cynthia Rush
Approximate Message Passing (AMP) algorithms are a class of iterative procedures for computationally-efficient estimation in high-dimensional inference and estimation tasks. Due to…