Gustavo Didier

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In this paper we provide a provably convergent algorithm for the multivariate Gaussian Maximum Likelihood version of the Behrens– Fisher Problem. Our work builds upon a formulation of the log-likelihood function proposed by Buot and Richards [5]. Instead of focusing on the first order optimality conditions, the algorithm aims directly for the maximization(More)
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