Adjusted regularization of cortical covariance
type: Item
instance of: scholarly article
title: Adjusted regularization of cortical covariance
zbMATH Open document ID: 1402.92029
author: Giuseppe Vinci
author: Valérie Ventura
author: Matthew A. Smith
author: Robert E. Kass
published in: Journal of Computational Neuroscience
publication date: 2018-12-04T00:00:00Z
full work available at URL: pmc6195462
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92-04
zbMATH DE Number: 6988378
zbMATH Keywords: Bayesian inference
zbMATH Keywords: false discovery rate
zbMATH Keywords: functional connectivity
zbMATH Keywords: Gaussian graphical model
zbMATH Keywords: graphical lasso
zbMATH Keywords: high-dimensional estimation
zbMATH Keywords: macaque visual cortex
zbMATH Keywords: penalized maximum likelihood estimation
describes a project that uses: R
describes a project that uses: BayesDA
describes a project that uses: dobson
describes a project that uses: glasso
describes a project that uses: PMTK
describes a project that uses: MASS (R)
MaRDI profile type: Publication
OpenAlex ID: W2890992780
Wikidata QID: Q64122342
cites work: Q4768455
cites work: Q3096116
cites work: Latent variable graphical model selection via convex optimization
cites work: Elements of Information Theory
cites work: First-Order Methods for Sparse Covariance Selection
cites work: Q4139463
cites work: Q3521322
cites work: Empirical Bayes Analysis of a Microarray Experiment
cites work: Size, power and false discovery rates
cites work: Network exploration via the adaptive LASSO and SCAD penalties
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: Q4807438
cites work: Discussion: Latent variable graphical model selection via convex optimization
cites work: Multivariate mutual information
cites work: Q3998409
cites work: Analysis of neural data
cites work: Q5134618
cites work: The graphical lasso: new insights and alternatives
cites work: Q3998435
cites work: Machine learning. A probabilistic perspective
cites work: Sparse permutation invariant covariance estimation
cites work: Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions
cites work: Statistical Analysis of Financial Data in S-Plus
cites work: Separating Spike Count Correlation from Firing Rate Correlation
cites work: Bayesian graphical Lasso models and efficient posterior computation
cites work: On scale mixtures of normal distributions
cites work: Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
cites work: Model Selection and Estimation in Regression with Grouped Variables
cites work: Model selection and estimation in the Gaussian graphical model
DOI: 10.1007/S10827-018-0692-X
description: scientific article; zbMATH DE number 6988378