搜索结果: 1-3 共查到“信息科学与系统科学 testing”相关记录3条 . 查询时间(0.07 秒)
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms
Non-adaptive probabilistic group noisy measurements Near-optimal bounds efficient algorithms
2011/9/19
Abstract: We consider the problem of detecting a small subset of defective items from a large set via non-adaptive "random pooling" group tests. We consider both the case when the measurements are noi...
A Generalized Poor-Verdu Error Bound for Multihypothesis Testing and the Channel Reliability Function
Hypothesis testing probability of error maximum-a-posteriori and maximum likelihood estimation channel coding
2011/9/14
Abstract: A lower bound on the minimum error probability for multihypothesis testing is established. The bound, which is expressed in terms of the cumulative distribution function of the tilted poster...
Blending Bayesian and frequentist methods according to the precision of prior information with an application to hypothesis testing
blended inference confidence distribution confidence posterior hybrid inference maximum entropy
2011/9/30
Abstract: The following zero-sum game between nature and a statistician blends Bayesian methods with frequentist methods such as p-values and confidence intervals. Nature chooses a posterior distribut...