Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions
type: Item
instance of: scholarly article
title: Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions
zbMATH Open document ID: 1469.62061
author: Long Feng
author: Lee H. Dicker
published in: Computational Statistics and Data Analysis
publication date: 2018-08-17T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62C12
zbMATH DE Number: 6920309
zbMATH Keywords: nonparametric maximum likelihood
zbMATH Keywords: Kiefer-Wolfowitz estimator
zbMATH Keywords: multivariate mixture models
zbMATH Keywords: convex optimization
describes a project that uses: Rmosek
describes a project that uses: REBayes
describes a project that uses: mixfdr
MaRDI profile type: Publication
full work available at URL: j.csda.2018.01.006
OpenAlex ID: W2790225006
cites work: A review of reliable maximum likelihood algorithms for semiparametric mixture models
cites work: In-season prediction of batting averages: a field test of empirical Bayes and Bayes methodol\-ogies
cites work: Q5434185
cites work: Continuous blood glucose monitoring: a Bayes-Hidden Markov approach
cites work: High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference
cites work: Q3584739
cites work: Data Analysis Using Stein's Estimator and its Generalizations
cites work: A Bayesian analysis of some nonparametric problems
cites work: Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.
cites work: Application of non parametric empirical Bayes estimation to high dimensional classification
cites work: On a Problem of Robbins
cites work: General maximum likelihood empirical Bayes estimation of normal means
cites work: Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
cites work: Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
cites work: Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
cites work: Q3928816
cites work: Q3634327
cites work: A direct approach to sparse discriminant analysis in ultra-high dimensions
cites work: An empirical Bayes mixture method for effect size and false discovery rate estimation
cites work: Q3239675
cites work: Nonparametric multivariate density estimation using mixtures
cites work: SURE Estimates for a Heteroscedastic Hierarchical Model
DOI: 10.1016/J.CSDA.2018.01.006
description: scientific article; zbMATH DE number 6920309