Cover Image

Leave-one-out testing for node-level differences in Gaussian graphical models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Benussi, Davide, Alongi, Ester, Banzato, Erika
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Guided structure learning of DAGs for count data
by: Nguyen, Thi Kim Hue, et al.
Published: (2022)

Sparsifying transform priors in Gaussian graphical models
by: Gehrmann, Marcus, et al.
Published: (2026)

The power of visualizing distributional differences: Formal graphical $n$-sample tests
by: Konstantinou, Konstantinos, et al.
Published: (2024)

Estimation of the complexity of a network under a Gaussian graphical model
by: Das, Nabaneet, et al.
Published: (2026)

Convex estimation of Gaussian graphical regression models with covariates
by: Liu, Ruobin, et al.
Published: (2024)

On the application of Gaussian graphical models to paired data problems
by: Ranciati, Saverio, et al.
Published: (2023)

Leave-group-out cross-validation for latent Gaussian models
by: Liu, Zhedong, et al.
Published: (2022)

Estimating Gaussian graphical models of multi-study data with Multi-Study Factor Analysis
by: Shutta, Katherine H., et al.
Published: (2022)

A graphical multi-fidelity Gaussian process model, with application to emulation of heavy-ion collisions
by: Ji, Yi, et al.
Published: (2021)

A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)

Lévy graphical models
by: Engelke, Sebastian, et al.
Published: (2024)

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
by: Adin, A., et al.
Published: (2023)

A graphical framework for interpretable correlation matrix models
by: Sterrantino, Anna Freni, et al.
Published: (2023)

Random graphical model of microbiome interactions in related environments
by: Vinciotti, Veronica, et al.
Published: (2023)

Robust Bayesian graphical modeling using $γ$-divergence
by: Onizuka, Takahiro, et al.
Published: (2023)

Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)

Exploration of the search space of Gaussian graphical models for paired data
by: Roverato, Alberto, et al.
Published: (2023)

Scalable and non-iterative graphical model estimation
by: Khare, Kshitij, et al.
Published: (2024)

The ladder of abstraction in statistical graphics
by: Gelman, Andrew
Published: (2025)

Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
by: Qin, Xing, et al.
Published: (2024)

A modelling framework for detecting and leveraging node-level information in Bayesian network inference
by: Xi, Xiaoyue, et al.
Published: (2023)

Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market
by: Franzolini, Beatrice, et al.
Published: (2022)

The $\ell$-test: leveraging sparsity in the Gaussian linear model for improved inference
by: Sengupta, Souhardya, et al.
Published: (2024)

Nonparametric learning of heterogeneous graphical model on network-linked data
by: Wang, Yuwen, et al.
Published: (2025)

Quantile mixed graphical models with an application to mass public shootings in the United States
by: Merlo, Luca, et al.
Published: (2023)

Isotropic randomization for one-sample testing in metric spaces
by: Bulté, Matthieu, et al.
Published: (2025)

Partially exchangeable stochastic block models for (node-colored) multilayer networks
by: Durante, Daniele, et al.
Published: (2024)

Hidden Markov graphical models with state-dependent generalized hyperbolic distributions
by: Foroni, Beatrice, et al.
Published: (2024)

Existence of the solution to the graphical lasso
by: Carter, Jack Storror
Published: (2025)

Complementary strengths of the Neyman-Rubin and graphical causal frameworks
by: Gorbach, Tetiana, et al.
Published: (2025)

Predictive biomarker graphical approach (PRIME) for Precision medicine
by: D'Angelo, Gina, et al.
Published: (2025)

A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)

Existence and optimisation of the partial correlation graphical lasso
by: Carter, Jack Storror, et al.
Published: (2025)

Extremal graphical modeling with latent variables via convex optimization
by: Engelke, Sebastian, et al.
Published: (2024)

Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025)

Distributional bias compromises leave-one-out cross-validation
by: Austin, George I., et al.
Published: (2024)

Joint leave-group-out cross-validation in Bayesian spatial models
by: Cooper, Alex, et al.
Published: (2025)

Multi-omics network reconstruction with collaborative graphical lasso
by: Albanese, Alessio, et al.
Published: (2024)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)

Assessing survival models by interval testing
by: Lee, Ben
Published: (2024)