Name
Abstract | ||
|---|---|---|
We investigate two closely related nonparametric hypothesis testing problems. In the first problem (i.e., the existence problem), we test whether a testing data stream is generated by one of a set of composite distributions. In the second problem (i.e., the association problem), we test which one of the multiple distributions generates a testing data stream. We assume that some distributions in th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2875392 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Testing,Training,Error probability,Measurement,Parametric statistics,Training data,Malware | Applied mathematics,Mathematical optimization,Data-driven,Maximum error,Error exponent,Nonparametric statistics,Test data,Mathematics,Statistical hypothesis testing | Journal |
Volume | Issue | ISSN |
66 | 24 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yixian Liu | 1 | 3 | 3.07 |
| Yingbin Liang | 2 | 1646 | 147.64 |
| Shuguang Cui | 3 | 521 | 54.46 |