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Finite mixture models are statistical models which appear in many problems in statistics and machine learning.
Estimating the parameters of mixtures of binomial distributions
W. R. Blischke · 1964
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Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
Joseph B. Kruskal · 1977
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Fundamentals of the theory of operator algebras. V1: Elementary theory
R.V. Kadison and J.R. Ringrose · 1983
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Real analysis: modern techniques and their applications
Gerald B. Folland · 1999
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Almost nonparametric inference for repeated measures in mixture models
T. P. Hettmansperger and Hoben Thomas · 2000
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Foundations of modern probability
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
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One-class support measure machines for group anomaly detection
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Distribution-free distribution regression
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Learning mixtures of arbitrary distributions over large discrete domains
Yuval Rabani, Leonard J. Schulman, and Chaitanya Swamy · 2013
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Tensor decompositions for learning latent variable models
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The more, the merrier: the blessing of dimensionality for learning large gaussian mixtures
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Learning Theory for Distribution Regression
Z. Szabo, B. Sriperumbudur, B. Poczos, and A. Gretton · 2014
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