4.5 Article

Estimating Structurally Similar Graphical Models

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Active Sampling for the Quickest Detection of Markov Networks

Ali Tajer et al.

Summary: This paper presents the sampling and optimal decision process based on Markov random fields. By designing an information measure, the random variables with the highest information value are adaptively selected for sampling to reduce the number of samples while maintaining decision reliability. The paper also discusses applications and performance analysis in specific scenarios.

IEEE TRANSACTIONS ON INFORMATION THEORY (2022)

Article Computer Science, Artificial Intelligence

Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting

Ahmed Nebli et al.

Summary: Brain connectivity networks derived from MRI can quantify relationships between brain regions and reveal gender-related differences, but existing studies mostly focus on low-order connections, neglecting the high-order interconnectedness of the brain. Recent works on neurological disorders introduced the concept of brain multiplexes, but the challenge lies in applying this to datasets with single brain networks. The authors proposed ABMT, a novel framework utilizing geometric adversarial learning to predict brain multiplexes and improve gender classification accuracy.

MEDICAL IMAGE ANALYSIS (2021)

Article Statistics & Probability

LEARNING A TREE-STRUCTURED ISING MODEL IN ORDER TO MAKE PREDICTIONS

Guy Bresler et al.

ANNALS OF STATISTICS (2020)

Review Genetics & Heredity

Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis

Bohyun Lee et al.

FRONTIERS IN GENETICS (2020)

Proceedings Paper Computer Science, Theory & Methods

Approximate Recovery Of Ising Models with Side Information

Saurabh Sihag et al.

2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) (2020)

Article Statistics & Probability

The minimax learning rates of normal and Ising undirected graphical models

Luc Devroye et al.

ELECTRONIC JOURNAL OF STATISTICS (2020)

Article Statistics & Probability

PROPERTY TESTING IN HIGH-DIMENSIONAL ISING MODELS

Matey Neykov et al.

ANNALS OF STATISTICS (2019)

Article Multidisciplinary Sciences

Multiplex core-periphery organization of the human connectome

Federico Battiston et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2018)

Article Communication

Multimodal, multiplex, multispatial: A network model of the self

Jaime Banks

NEW MEDIA & SOCIETY (2017)

Proceedings Paper Computer Science, Theory & Methods

Learning Graphical Models Using Multiplicative Weights

Adam R. Klivans et al.

2017 IEEE 58TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS) (2017)

Article Statistics & Probability

Joint estimation of multiple graphical models from high dimensional time series

Huitong Qiu et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2016)

Article Biochemical Research Methods

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules

Jian Fang et al.

BIOINFORMATICS (2016)

Article Engineering, Electrical & Electronic

On the Difficulty of Selecting Ising Models With Approximate Recovery

Jonathan Scarlett et al.

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS (2016)

Article Statistics & Probability

ESTIMATING HETEROGENEOUS GRAPHICAL MODELS FOR DISCRETE DATA WITH AN APPLICATION TO ROLL CALL VOTING

Jian Guo et al.

ANNALS OF APPLIED STATISTICS (2015)

Article Statistics & Probability

Bayesian Inference of Multiple Gaussian Graphical Models

Christine Peterson et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2015)

Article Mathematics, Applied

FUSED MULTIPLE GRAPHICAL LASSO

Sen Yang et al.

SIAM JOURNAL ON OPTIMIZATION (2015)

Article Psychology, Multidisciplinary

An algebraic topological method for multimodal brain networks comparisons

Tiago Simas et al.

FRONTIERS IN PSYCHOLOGY (2015)

Proceedings Paper Computer Science, Theory & Methods

Efficiently Learning Ising Models on Arbitrary Graphs

Guy Bresler

STOC'15: PROCEEDINGS OF THE 2015 ACM SYMPOSIUM ON THEORY OF COMPUTING (2015)

Article Statistics & Probability

The joint graphical lasso for inverse covariance estimation across multiple classes

Patrick Danaher et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2014)

Article Statistics & Probability

HIGH-DIMENSIONAL STRUCTURE ESTIMATION IN ISING MODELS: LOCAL SEPARATION CRITERION

Animashree Anandkumar et al.

ANNALS OF STATISTICS (2012)

Article Computer Science, Information Systems

Information-Theoretic Limits of Selecting Binary Graphical Models in High Dimensions

Narayana P. Santhanam et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2012)

Article Statistics & Probability

High-dimensional covariance estimation by minimizing l(1)-penalized log-determinant divergence

Pradeep Ravikumar et al.

ELECTRONIC JOURNAL OF STATISTICS (2011)

Article Multidisciplinary Sciences

The brain's default network - Anatomy, function, and relevance to disease

Randy L. Buckner et al.

YEAR IN COGNITIVE NEUROSCIENCE 2008 (2008)

Article Multidisciplinary Sciences

Network structure of cerebral cortex shapes functional connectivity on multiple time scales

Christopher J. Honey et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)