Sculpting priors
Signal Processing
2024-08-09 v1 Statistics Theory
Statistics Theory
Abstract
Bayesian priors are investigated for detecting targets of known spectral signature (but unknown strength) in cluttered backgrounds. A specific problem is the construction (or ``sculpting'') of a Bayesian prior that uniformly outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely used Generalized Likelihood Ratio Test (GLRT).
Cite
@article{arxiv.2408.04572,
title = {Sculpting priors},
author = {James Theiler},
journal= {arXiv preprint arXiv:2408.04572},
year = {2024}
}
Comments
11 pages, 7 figures