Error exponents for composite hypothesis testing of Markov forest distributions
The problem of composite binary hypothesis testing of Markov forest (or tree) distributions is considered. The worst-case type-II error exponent is derived under the Neyman-Pearson formulation. Under simple null hypothesis, the error exponent is derived in closed-form and is characterized in terms o...
| Main Authors: | , , |
|---|---|
| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2012-10-03T19:16:37Z.
|
| Subjects: | |
| Online Access: | Get fulltext |