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Showing 1 to 5 of 5 for “"Composite Hypothesis Testing"”.
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Statistical Hypothesis Testing Under Model Uncertainty
Statistical testing is one of the main problems in statistics and finds applications in a number of fields, including engineering, signal processing, medicine, and finance among others. Traditionally in hypothesis testing problem, the hypothesis distributions subject to testing are known. However, …
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Signal Detection and Modulation Classification in Non-Gaussian Noise Environments
… problems considered here are treated as hypothesis testing problems. Using a composite hypothesis testing procedure, the unknown fading and noise process parameters are first estimated and then used in a likelihood ratio test to detect the presence or identify the modulation scheme of a …
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Contributions to asymptotic theory in nonparametric statistics
… results are based on an analysis of a related composite hypothesis testing problem, while the construction of our confidence sets follows a risk estimation approach. We prove similar results for the W_1-distance when the sampling domain is R^d. These are the first results in a statistical …
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Sequential anomaly detection under sampling constraints
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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Vision-Enhanced Communications: On the Benefits of NLOS/LOS Knowledge in Wireless Systems
… labeled vs unlabeled information. Bayes risk and composite likelihood ratio test (LRT) methods are used to derive the optimal decision rule in both constant false-alarm rate (CFAR) and minimum probability of error (min(Pe)) paradigms. It is shown that a dynamic detection scheme utilizing labeled …