The maximum likelihood data singular locus. (March 2017)

• Record Type: Journal Article
• Authors: Horobeţ, Emil; Rodriguez, Jose Israel
• Is Part Of: Journal of symbolic computation. Volume 79(2017)Part 1
• Page Start: 99
• Page End: 107
• Publication Date: 2017-03
• Subjects: Maximum likelihood degree -- Data singular locus -- ML discriminant; Mathematics -- Data processing -- Periodicals; Numerical analysis -- Data processing -- Periodicals; Automatic programming (Computer science) -- Periodicals; Mathématiques -- Informatique -- Périodiques; Analyse numérique -- Informatique -- Périodiques; Programmation automatique -- Périodiques; Automatic programming (Computer science); Mathematics -- Data processing; Numerical analysis -- Data processing; Periodicals; Electronic journals; 510.285
• DOI: 10.1016/j.jsc.2016.08.007
• Languages: English
• ISSNs: 0747-7171

Abstract

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.