The maximum likelihood data singular locus

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• 作者：Emil Horobeţ ^{e.horobet@tue.nl" class="auth_mail" title="E-mail the corresponding author} ; Jose Israel Rodriguez
• 关键词：Maximum likelihood degree ; Data singular locus ; ML discriminant
• 刊名：Journal of Symbolic Computation
• 出版年：2017
• 出版时间：March-April 2017
• 年：2017
• 卷：79
• 期：part_P1
• 页码：99-107
• 全文大小：1041 K

文摘

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.