Name
Title | ||
|---|---|---|
Performance analysis of hypothesis testing for sparse pairwise interaction point processes |
Abstract | ||
|---|---|---|
The sufficient statistic for performing the likelihood ratio test for pairwise interaction point processes is well-known; however, the evaluation of its performance is a very difficult problem. It is shown that the distribution of the sufficient statistic can be approximated by the distribution of a Poisson-driven shot-noise random variable, which can be readily computed |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/18.850675 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Poisson distribution,shot noise,statistical analysis,Poisson-driven shot-noise random variable,hypothesis testing,likelihood ratio test,performance analysis,sparse pairwise interaction point processes,sufficient statistic distribution | Likelihood-ratio test,Artificial intelligence,Sufficient statistic,Statistical hypothesis testing,Ancillary statistic,Discrete mathematics,Pairwise comparison,Pattern recognition,Test statistic,Statistic,Algorithm,Completeness (statistics),Mathematics | Journal |
Volume | Issue | ISSN |
46 | 4 | 0018-9448 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gubner, J.A. | 1 | 52 | 7.59 |
| Wei-Bin Chang | 2 | 5 | 1.63 |
| M. M. Hayat | 3 | 37 | 5.89 |