Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts-Reference-Cited by-同舟云学术

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Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts

Published:2012-01-01 Issue:none Volume:6 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Tran Minh-Ngoc,Nott David J.,Kohn Robert

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

Link

https://projecteuclid.org/download/pdfview_1/euclid.ejs/1340974140

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexible multivariate regression density estimation;Communications in Statistics - Theory and Methods;2020-02-05

2. Data integrative Bayesian inference for mixtures of regression models;Journal of the Royal Statistical Society: Series C (Applied Statistics);2019-03-24

3. Bayesian variable selection and coefficient estimation in heteroscedastic linear regression model;Journal of Applied Statistics;2018-02-07

4. Model selection for the localized mixture of experts models;Journal of Applied Statistics;2017-11-25

5. Modelling hospital length of stay using convolutive mixtures distributions;Statistics in Medicine;2016-10-05

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