A modified expectation‐maximization algorithm for latent Gaussian graphical model-Reference-Cited by-同舟云学术

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A modified expectation‐maximization algorithm for latent Gaussian graphical model

Published:2021-08-05 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Zheng Chaowen¹,Huang Jingfang²,Wood Ian A.³,Wu Yichao⁴^ORCID

Affiliation:

1. Department of Statistics North Carolina State University Raleigh North Carolina USA

2. Department of Mathematics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

3. School of Mathematics and Physics University of Queensland St. Lucia Queensland Australia

4. Department of Mathematics, Statistics and Computer Science The University of Illinois at Chicago Chicago Illinois USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11643

Reference33 articles.

1. The Grouped Continuous Model for Multivariate Ordered Categorical Variables and Covariate Adjustment

2. Multi-Variate Probit Analysis

3. Statistical guarantees for the EM algorithm: From population to sample-based analysis

4. A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation

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