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Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity

29 December 2015

Eugene Belilovsky

Gaël Varoquaux

Matthew B. Blaschko

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Papers citing "Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity"

21 / 21 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 782 0 0 14 May 2025
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data Samuel Rey Ernesto Curbelo Luca Martino F. Llorente Antonio G. Marques 83 0 0 25 Mar 2025
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro Samuel Rey Andrei Buciulea Antonio G. Marques Santiago Segarra 144 6 0 13 Jun 2024
Learning High-Dimensional Differential Graphs From Multi-Attribute Data Jitendra Tugnait 70 2 0 05 Dec 2023
A modelling framework for detecting and leveraging node-level information in Bayesian network inference Xiaoyue Xi H. Ruffieux 31 1 0 06 Sep 2023
Joint Gaussian Graphical Model Estimation: A Survey Katherine Tsai Oluwasanmi Koyejo Mladen Kolar CML 104 24 0 19 Oct 2021
Limits on Testing Structural Changes in Ising Models Aditya Gangrade B. Nazer Venkatesh Saligrama 66 0 0 07 Nov 2020
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge Arshdeep Sekhon Zhe Wang Yanjun Qi 42 0 0 24 Apr 2020
Differential Network Analysis: A Statistical Perspective Ali Shojaie 91 49 0 09 Mar 2020
Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity Sen Na Mladen Kolar Oluwasanmi Koyejo 59 24 0 12 Sep 2019
Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models Asish Ghoshal Kevin Bello Jean Honorio CML 51 8 0 28 Jun 2019
Partially Linear Additive Gaussian Graphical Models Sinong Geng Minhao Yan Mladen Kolar Oluwasanmi Koyejo 81 14 0 08 Jun 2019
Graph-aware Modeling of Brain Connectivity Networks Yura Kim Daniel A Kessler Elizaveta Levina 45 8 0 06 Mar 2019
Identifiability in Gaussian Graphical Models D. Soh S. Tatikonda 84 3 0 10 Jun 2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models S. Majumdar George Michailidis 55 4 0 09 Mar 2018
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective Ronak R. Mehta Hyunwoo J. Kim Shulei Wang Sterling C. Johnson Ming Yuan Vikas Singh 61 0 0 20 Nov 2017
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure Beilun Wang Arshdeep Sekhon Yanjun Qi 42 10 0 30 Oct 2017
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models Aditya Gangrade B. Nazer Venkatesh Saligrama 66 6 0 28 Oct 2017
Network-Guided Biomarker Discovery Chloé-Agathe Azencott 40 6 0 27 Jul 2016
Learning to Discover Sparse Graphical Models Eugene Belilovsky Kyle Kastner Gaël Varoquaux Matthew Blaschko CML 79 30 0 20 May 2016
Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection R. Monti C. Anagnostopoulos Giovanni Montana 16 20 0 07 Dec 2015