Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental

DOI10.1007/978-3-319-32859-1_49zbMath1460.62081arXiv1508.06958OpenAlexW1953619313WikidataQ57566381 ScholiaQ57566381MaRDI QIDQ2807877

Carlos Améndola, Bernd Sturmfels, Mathias Drton

Publication date: 25 May 2016

Published in: Mathematical Aspects of Computer and Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1508.06958

zbMATH Keywords

normal distributionmaximum likelihoodmixture modelalgebraic statisticsexpectation maximizationtranscendence theory

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Identifying the number of components in Gaussian mixture models using numerical algebraic geometry, Exact solutions in log-concave maximum likelihood estimation

Uses Software

• mclust