Estimation of Undirected Graph with Finite Mixture of Nonparanormal Distribution-Reference-Cited by-同舟云学术

Estimation of Undirected Graph with Finite Mixture of Nonparanormal Distribution

Published:2021-04-15 Issue:2 Volume:15 Page:
ISSN:1559-8608
Container-title:Journal of Statistical Theory and Practice
language:en
Short-container-title:J Stat Theory Pract

Author:

Khalili Atefeh,Eskandari Farzad,Nematollahi Nader

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42519-021-00192-1.pdf

Reference26 articles.

1. Banerjee O, Ghaoui LE, d’Aspremont A (2008) Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. J Mach Learn Res 9(Mar):485–516

2. Benaglia T, Chauveau D, Hunter DR (2009) An em-like algorithm for semi-and nonparametric estimation in multivariate mixtures. J Comput Graph Stat 18(2):505–526

3. Bickel PJ, Doksum KA (1981) An analysis of transformations revisited. J Am Stat Assoc 76(374):296–311

4. Chen J, Chen Z (2008) Extended Bayesian information criteria for model selection with large model spaces. Biometrika 95(3):759–771

5. Elmore RT (2003) Semiparametric analysis of finite mixture models with repeated measures. Ph.D. thesis, Pennsylvania State University

Cited by 2 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. Simultaneous estimation and clustering with finite mixture of nonparanormal graphical models;Communications in Statistics - Simulation and Computation;2023-10-09

2. Estimation of nonparanormal graphical models based on ranked set sampling (RSS);Journal of Statistical Computation and Simulation;2022-09-29