Articles

Review of Causal Discovery Methods Based on Graphical Models

in Statistical Genetics and Methodology

• Clark Glymour
• Kun Zhang
• Peter Spirtes

Comorbidity network analysis using graphical models for electronic health records

in Data Mining and Management

• Bo Zhao
• Sarah Huepenbecker
• Gen Zhu
• Suja S. Rajan
• Kayo Fujimoto
• Xi Luo

Active Inference and Epistemic Value in Graphical Models

in Computational Intelligence in Robotics

• Thijs van de Laar
• Magnus Koudahl
• Bart van Erp
• Bert de Vries

Joint conditional Gaussian graphical models with multiple sources of genomic data

in Computational Genomics

• Hyonho Chun
• Min Chen
• Bing Li
• Hongyu Zhao

Learned graphical models for probabilistic planning provide a new class of movement primitives

• Elmar A. Rückert
• Gerhard Neumann
• Marc Toussaint
• Wolfgang Maass

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis

• Andrés Ortiz
• Jorge Munilla
• Ignacio Álvarez-Illán
• Juan M. Górriz
• Javier Ramírez
• Alzheimer's Disease Neuroimaging Initiative

Weighted Fused Pathway Graphical Lasso for Joint Estimation of Multiple Gene Networks

in Computational Genomics

• Nuosi Wu
• Jiang Huang
• Xiao-Fei Zhang
• Le Ou-Yang
• Shan He
• Zexuan Zhu
• Weixin Xie

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models

in Systems Biology Archive

• Frank Emmert-Streib
• Shailesh Tripathi
• Matthias Dehmer

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes

in Smart Sensor Networks and Autonomy

• Soumalya Sarkar
• Soumik Sarkar
• Nurali Virani
• Asok Ray
• Murat Yasar

Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease

in Neurocognitive Aging and Behavior

• Martin Dyrba
• Reza Mohammadi
• Michel J. Grothe
• Thomas Kirste
• Stefan J. Teipel

Probabilistic edge inference of gene networks with markov random field-based bayesian learning

in Statistical Genetics and Methodology

• Yu-Jyun Huang
• Rajarshi Mukherjee
• Chuhsing Kate Hsiao

Recent Integrations of Latent Variable Network Modeling With Psychometric Models

in Quantitative Psychology and Measurement

• Selena Wang

Statistical Approaches for the Study of Cognitive and Brain Aging

in Neurocognitive Aging and Behavior

• Huaihou Chen
• Bingxin Zhao
• Guanqun Cao
• Eric C. Proges
• Andrew O'Shea
• Adam J. Woods
• Ronald A. Cohen

A Method for the Symbolic Representation of Neurons

• Jose Juan Aliaga Maraver
• Susana Mata
• Ruth Benavides-Piccione
• Javier DeFelipe
• Luis Pastor

Bayesian networks in neuroscience: a survey

• Concha Bielza
• Pedro Larrañaga

Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional Connectivity

in Brain Imaging Methods

• Manjari Narayan
• Genevera I. Allen