Works (2)
Updated: July 7th, 2023 21:16
2017 journal article
The robust EM-type algorithms for log-concave mixtures of regression models
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 111, 14–26.
author keywords: EM algorithm; Log-concave Maximum Likelihood Estimator; Mixture of regression model; Robust regression
TL;DR:
A new method is proposed to estimate the mixture regression parameters by only assuming that the components have log-concave error densities but the specific parametric family is unknown, which has comparable performance to the normal EM algorithm.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 journal article
Maximum likelihood estimation of the mixture of log-concave densities
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 101, 137–147.
author keywords: Consistency; Log-concave maximum likelihood estimator (LCMLE); Mixture model
TL;DR:
This paper considers a much more flexible mixture model, which assumes each component density to be log-concave, and shows that the LCMLE improves the clustering results while comparing with the traditional MLE for parametric mixture models.
(via Semantic Scholar)
manuscript.elsevier.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.