Unsupervised learning of mixture regression models for longitudinal data-Reference-Cited by-同舟云学术

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Unsupervised learning of mixture regression models for longitudinal data

Published:2018-09 Issue: Volume:125 Page:44-56
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Xu Peirong,Peng Heng^ORCID,Huang Tao^ORCID

Funder

National Natural Science Foundation of China

Research Grants Council of Hong Kong

Hong Kong Baptist University

State Key Program in the Major Research Plan of NSFC

NSFC

Program for Innovative Research Team of SHUFE

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference39 articles.

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3. Order selection in finite mixture models with a nonsmooth penalty;Chen;J. Amer. Statist. Assoc.,2008

4. Testing in locally conic models and application to mixture models;Dacunha-Castelle;ESAIM Probab. Stat.,1997

5. Detecting features in spatial point processes with clutter via model-based clustering;Dasgupta;J. Amer. Statist. Assoc.,1998

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