Using the EM algorithm for inference in a mixture of distributions with censored but partially identifiable data
type: Item
instance of: scholarly article
title: Using the EM algorithm for inference in a mixture of distributions with censored but partially identifiable data
zbMATH Open document ID: 1161.62414
author: A. Contreras-Cristán
published in: Computational Statistics and Data Analysis
publication date: 2009-05-29T00:00:00Z
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5559439
zbMATH Keywords: censored mixture of distributions
zbMATH Keywords: EM algorithm
zbMATH Keywords: failure time data
zbMATH Keywords: partial identification
describes a project that uses: BayesDA
MaRDI profile type: Publication
full work available at URL: j.csda.2006.07.041
OpenAlex ID: W2095000310
cites work: Q4437934
cites work: Inference Using Latent Variables for Mixtures of Distributions for Censored Data with Partial Identification
cites work: Q3269567
cites work: Q4139463
cites work: Q4298912
cites work: Sampling-Based Approaches to Calculating Marginal Densities
cites work: ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
cites work: Finite mixture models
cites work: A Simplex Method for Function Minimization
cites work: Q3702346
cites work: Mixture Densities, Maximum Likelihood and the EM Algorithm
cites work: Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
DOI: 10.1016/J.CSDA.2006.07.041
Recommended article: A stochastic EM algorithm for mixtures with censored data
Recommended article: Asymptotic properties of a stochastic EM algorithm for mixtures with censored data
Recommended article: Inference Using Latent Variables for Mixtures of Distributions for Censored Data with Partial Identification
Recommended article: The Stochastic EM Algorithm for Censored Mixed Models
Recommended article: FITTING MIXTURES OF ERLANGS TO CENSORED AND TRUNCATED DATA USING THE EM ALGORITHM
Recommended article: An em algorithm for density estimation with randomly censored data
Recommended article: Inferences for Mixtures of Distributions for Centrally Censored Data with Partial Identification
description: scientific article; zbMATH DE number 5559439