Integrating additional knowledge into the estimation of graphical models
type: Item
instance of: scholarly article
title: Integrating additional knowledge into the estimation of graphical models
author: Yunqi Bu
author: Johannes Christof Lederer
published in: The International Journal of Biostatistics
publication date: 2024-11-13T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7942970
zbMATH Keywords: brain connectivity networks
zbMATH Keywords: prior knowledge
zbMATH Keywords: tuning parameters
MaRDI profile type: Publication
cites work: A survey of cross-validation procedures for model selection
cites work: Q3096116
cites work: Emergence of Scaling in Random Networks
cites work: Q4092750
cites work: Prediction error bounds for linear regression with the TREX
cites work: Statistics for high-dimensional data. Methods, theory and applications.
cites work: A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
cites work: On the prediction performance of the Lasso
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: A Theorem about Random Fields
cites work: Q5251797
cites work: Checking the Independence of Two Covariance-Stationary Time Series: A Univariate Residual Cross-Correlation Approach
cites work: Confidence intervals for high-dimensional inverse covariance estimation
cites work: Q4382293
cites work: Oracle inequalities for high-dimensional prediction
cites work: High-dimensional graphs and variable selection with the Lasso
cites work: The Bayesian Lasso
cites work: A permutation approach for selecting the penalty parameter in penalized model selection
cites work: Q4864293
cites work: On the conditions used to prove oracle results for the Lasso
cites work: Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
cites work: Stability
cites work: Model selection and estimation in the Gaussian graphical model
cites work: Q3174050
cites work: The Adaptive Lasso and Its Oracle Properties
DOI: 10.1515/IJB-2020-0133
description: scientific article; zbMATH DE number 7942970