Name
Title | ||
|---|---|---|
Optimal Decision Rules for Simple Hypothesis Testing Under General Criterion Involving Error Probabilities. |
Abstract | ||
|---|---|---|
The problem of simple M-ary hypothesis testing under a generic performance criterion that depends on arbitrary functions of error probabilities is considered. Using results from convex analysis, it is proved that an optimal decision rule can be characterized as a randomization among at most two deterministic decision rules, each of the form reminiscent to Bayes rule, if the boundary points corresp... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2020.2966330 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Testing,Pairwise error probability,Error probability,Bayes methods,Optimization,Probability density function | Journal | 27 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Berkan Dulek | 1 | 107 | 13.74 |
| Cuneyd Ozturk | 2 | 0 | 1.01 |
| Sinan Gezici | 3 | 27 | 2.85 |