Connectivity‐informed adaptive regularization for generalized outcomes
From MaRDI portal
Publication:6059500
DOI10.1002/cjs.11606OpenAlexW3131055018MaRDI QIDQ6059500
Jaroslaw Harezlak, Marta Karaś, Unnamed Author, Joaquín Goñi, Damian Brzyski, Unnamed Author, Timothy W. Randolph
Publication date: 2 November 2023
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11606
Laplacian matrixpenalized regressiongeneralized linear regressionbrain connectivitybrain structurestructured penalties
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- Statistical significance in high-dimensional linear models
- The solution path of the generalized lasso
- Feature selection guided by structural information
- Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
- Laplacians and the Cheeger inequality for directed graphs
- Penalized discriminant analysis
- Structured penalties for functional linear models -- partially empirical eigenvectors for regression
- Functional principal components analysis via penalized rank one approximation
- A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
- Sparsity and Smoothness Via the Fused Lasso
- Approximate Inference in Generalized Linear Mixed Models
- Ridge Estimators in Logistic Regression
- Generalized linear mixed models a pseudo-likelihood approach
- Fast unfolding of communities in large networks
- Regularization and Variable Selection Via the Elastic Net
- A significance test for graph‐constrained estimation
