Robust maximum likelihood estimation in
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Giuseppe Calafiore; Laurent El Ghaoui
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Article
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2001
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Elsevier Science
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English
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This paper addresses the problem of maximum likelihood parameter estimation in linear models a!ected by Gaussian noise, whose mean and covariance matrix are uncertain. The proposed estimate maximizes a lower bound on the worst-case (with respect to the uncertainty) likelihood of the measured sample,