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Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions
Long Feng, Lee H. Dicker
School of Arts and Sciences, Statistics
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Article
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peer-review
13
Scopus citations
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Dive into the research topics of 'Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions'. Together they form a unique fingerprint.
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Keyphrases
Nonparametric Maximum Likelihood Estimator (NPMLE)
100%
Optimization Approach
100%
Mixture Model
100%
Convex Optimization
100%
Mixing Distribution
100%
Maximum Likelihood Method
42%
Empirical Bayes Method
28%
Diabetes Patients
14%
Blood Glucose
14%
Likelihood-based Methods
14%
Modern Application
14%
Support Set
14%
Online Prediction
14%
Easy-to-implement
14%
Relative Effectiveness
14%
Likelihood-based Approach
14%
Method Performance
14%
Convex Optimization Problem
14%
Microarray Classification
14%
Baseball
14%
Real Data Applications
14%
Mathematics
Approximates
100%
Mixture Model
100%
Maximum Likelihood
100%
Maximum Likelihood Method
40%
Empirical Bayes Procedure
40%
Statistics
20%
Real Data
20%
Computer Science
Convex Optimization
100%
maximum-likelihood
100%
Maximum Likelihood Method
40%
Optimization Problem
20%
Data Application
20%
Relative Effectiveness
20%