Penalized composite likelihood for colored graphical Gaussian models-Reference-Cited by-同舟云学术

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Penalized composite likelihood for colored graphical Gaussian models

Published:2021-06-10 Issue:4 Volume:14 Page:366-378
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Li Qiong¹^ORCID,Sun Xiaoying²,Wang Nanwei³,Gao Xin²

Affiliation:

1. Division of Science and Technology BNU‐HKBU United International College Zhuhai Guangdong China

2. Department of Mathematics and Statistics York University Toronto Ontario Canada

3. Lunenfeld‐Tanenbaum Research Institute Mount Sinai Hospital Toronto Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11530

Reference41 articles.

1. Statistical mechanics of complex networks

2. Extended Bayesian information criteria for model selection with large model spaces

3. A whole brain fMRI atlas generated via spatially constrained spectral clustering

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1. The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering;Statistical Methods & Applications;2024-01-25

2. Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering;Journal of Classification;2022-10-11

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