Learning a common substructure of multiple graphical Gaussian models

Neural Networks ◽

10.1016/j.neunet.2012.11.004 ◽

2013 ◽

Vol 38 ◽

pp. 23-38 ◽

Author(s):

Satoshi Hara ◽

Takashi Washio

Keyword(s):

Gaussian Models ◽

Common Substructure ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Common Substructure Learning of Multiple Graphical Gaussian Models

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-23783-6_1 ◽

2011 ◽

pp. 1-16 ◽

Author(s):

Satoshi Hara ◽

Takashi Washio

Keyword(s):

Gaussian Models ◽

Common Substructure ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Penalized composite likelihood for colored graphical Gaussian models

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.11530 ◽

2021 ◽

Author(s):

Qiong Li ◽

Xiaoying Sun ◽

Nanwei Wang ◽

Xin Gao

Keyword(s):

Composite Likelihood ◽

Gaussian Models ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks

Bioinformatics ◽

10.1093/bioinformatics/btl391 ◽

2006 ◽

Vol 22 (20) ◽

pp. 2523-2531 ◽

Author(s):

A. V. Werhli ◽

M. Grzegorczyk ◽

D. Husmeier

Keyword(s):

Reverse Engineering ◽

Bayesian Networks ◽

Gene Regulatory Networks ◽

Comparative Evaluation ◽

Regulatory Networks ◽

Gaussian Models ◽

Gene Regulatory ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries

COMPSTAT 2008 ◽

10.1007/978-3-7908-2084-3_9 ◽

2008 ◽

pp. 105-116

Author(s):

Søren Højsgaard

Keyword(s):

Graphical Models ◽

Sparse Data ◽

Gaussian Models ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Bayesian model selection approach for coloured graphical Gaussian models

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2020.1784175 ◽

2020 ◽

Vol 90 (14) ◽

pp. 2631-2654

Author(s):

Qiong Li ◽

Xin Gao ◽

Hélène Massam

Keyword(s):

Model Selection ◽

Bayesian Model ◽

Bayesian Model Selection ◽

Gaussian Models ◽

Model Selection Approach ◽

Selection Approach ◽

Graphical Gaussian Models ◽

Graphical Gaussian ◽

Bayesian Model Selection Approach

Download Full-text

The Isserlis matrix and its application to non-decomposable graphical Gaussian models

10.1093/biomet/85.3.711 ◽

1998 ◽

Vol 85 (3) ◽

pp. 711-725 ◽

Author(s):

A Roverato

Keyword(s):

Gaussian Models ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries

10.1093/biomet/asx084 ◽

2018 ◽

Vol 105 (2) ◽

pp. 371-388 ◽

Author(s):

H Massam ◽

Q Li ◽

X Gao

Keyword(s):

Covariance Matrix ◽

Covariance Matrix Estimation ◽

Gaussian Models ◽

Matrix Estimation ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Deducing corticotropin-releasing hormone receptor type 1 signaling networks from gene expression data by usage of genetic algorithms and graphical Gaussian models

BMC Systems Biology ◽

10.1186/1752-0509-4-159 ◽

2010 ◽

Vol 4 (1) ◽

pp. 159 ◽

Author(s):

Dietrich Trümbach ◽

Cornelia Graf ◽

Benno Pütz ◽

Claudia Kühne ◽

Marcus Panhuysen ◽

...

Keyword(s):

Gene Expression ◽

Genetic Algorithms ◽

Gene Expression Data ◽

Hormone Receptor ◽

Signaling Networks ◽

Expression Data ◽

Gaussian Models ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Bayesian Inference in Graphical Gaussian Models

Handbook of Graphical Models ◽

10.1201/9780429463976-10 ◽

2018 ◽

pp. 239-264

Author(s):

Hélène Massam

Keyword(s):

Bayesian Inference ◽

Gaussian Models ◽

Graphical Gaussian Models ◽

Graphical Gaussian

Download Full-text

Power of edge exclusion tests in graphical Gaussian models

10.1093/biomet/92.1.173 ◽

2005 ◽

Vol 92 (1) ◽

pp. 173-182 ◽

Author(s):

M. Fátima Salgueiro ◽

Peter W. F. Smith ◽

John W. McDonald

Keyword(s):

Gaussian Models ◽

Graphical Gaussian Models ◽

Edge Exclusion ◽

Graphical Gaussian

Download Full-text