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Statistical tests / Information theory / Categorical data / Likelihood-ratio test / Likelihood function / Kullback–Leibler divergence / Maximum likelihood / Mutual information / Normal distribution / Statistics / Estimation theory / Statistical theory


Hypothesis testing over factorizations for data association Alexander T. Ihler, John W. Fisher III, and Alan S. Willsky [removed], [removed], [removed] Massachusetts Institute of Technology Cambridge, M
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Document Date: 2012-02-01 13:34:22

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Massachusetts Institute of Technology Cambridge / /

IndustryTerm

inhomogenous media / sensor networks / online case / dispersive media / e-h / /

Organization

Data Association of Two Sources We / Alexander T. Ihler / Massachusetts Institute of Technology / Institute of Technology Cambridge / Data Association / Introduction Data association / Data Association Data association / /

Person

John W. Fisher III / Alexander T. Ihler / Alan S. Willsky / /

Position

fisher / model of the relationship between observations across sensors / /

Product

Cowon D2+ Portable Audio Device / /

ProgrammingLanguage

K / /

ProvinceOrState

Massachusetts / /

Technology

resulting algorithm / simulation / willsky@mit.edu Massachusetts Institute of Technology / /

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