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Showing 1 to 2 of 2 for “"generalized likelihood test"”.
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Universal outlier hypothesis testing with applications to anomaly detection
Outlier hypothesis testing is studied in a universal setting. Multiple sequences of observations are collected, a small subset (possibly empty) of which are outliers. A sequence is considered an outlier if the observations in that sequence are distributed according to an “outlier” distribution, …
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Hypothesis Testing Using Spatially Dependent Heavy-Tailed Multisensor Data
… distributions. We consider a two-sided test in the Neyman-Pearson framework and present an asymptotic analysis of the generalized likelihood test (GLRT). Both, nested and non-nested models are considered in the analysis. We also use a likelihood maximization-based copula selection scheme …