Name
Abstract | ||
|---|---|---|
We investigate the nonparametric, composite hypothesis testing problem for arbitrary unknown distributions in the asymptotic regime where both the sample size and the number of hypothesis grow exponentially large. Such asymptotic analysis is important in many practical problems, where the number of variations that can exist within a family of distributions can be countably infinite. We introduce t... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTSP.2018.2865884 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | DocType | Volume |
Testing,Supervised learning,Channel coding,Measurement,Error probability,Tools | Journal | 12 |
Issue | ISSN | Citations |
5 | 1932-4553 | 1 |
PageRank | References | Authors |
0.37 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| qunwei li | 1 | 68 | 6.42 |
| Tiexing Wang | 2 | 5 | 2.57 |
| Donald J. Bucci | 3 | 13 | 6.09 |
| Yingbin Liang | 4 | 1646 | 147.64 |
| Biao Chen | 5 | 2258 | 199.27 |
| Pramod K. Varshney | 6 | 6689 | 594.61 |