The Maximum Likelihood Data Singular Locus

2015/09/30 by Emil Horobeţ, Horobet, Emil, Jose Israel Rodriguez +1 · 1 citation
Computer Science · #Bayesian Methods and Mixture Models

paper · pdf · doi:10.48550/arxiv.1509.09225

Abstract

For general data, the number of complex solutions to the likelihood equations is constant and this number is called the (maximum likelihood) ML-degree of the model. In this article, we describe the special locus of data for which the likelihood equations have a solution in the model's singular locus.

Citations

• Maximum likelihood degree of Fermat hypersurfaces via Euler characteristics

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