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scientific article; zbMATH DE number 7370571

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7370571

Statements

scholarly article

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Naveen Naidu Narisetty

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publication date

9 July 2021

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full work available at URL

https://jmlr.csail.mit.edu/papers/v22/19-1006.html

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zbMATH Keywords

graphical models

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Bayesian regularization

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spike-and-slab priors

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selection consistency

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non-convex optimization

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EM algorithm

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Bayesian structure learning in graphical models

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Emergence of Scaling in Random Networks

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Penalized methods for bi-level variable selection

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A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation

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Objective Bayesian model selection in Gaussian graphical models

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The average distances in random graphs with given expected degrees

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The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes

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Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data

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Network exploration via the adaptive LASSO and SCAD penalties

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Sparse inverse covariance estimation with the graphical lasso

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Bayesian Regularization for Graphical Models With Unequal Shrinkage

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Joint estimation of multiple graphical models

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A group bridge approach for variable selection

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A selective review of group selection in high-dimensional models

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Gibbs posterior for variable selection in high-dimensional classification and data mining

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Sparsistency and rates of convergence in large covariance matrix estimation

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Support recovery without incoherence: a case for nonconvex regularization

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The graphical lasso: new insights and alternatives

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Bayesian structure learning in sparse Gaussian graphical models

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Bayesian Inference of Multiple Gaussian Graphical Models

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High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence

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Bayesian estimation of sparse signals with a continuous spike-and-slab prior

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Sparse permutation invariant covariance estimation

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Strong Rules for Discarding Predictors in Lasso-Type Problems

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Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks

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Efficient Gaussian graphical model determination under \(G\)-Wishart prior distributions

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Bayesian variable selection and estimation for group Lasso

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Fused Multiple Graphical Lasso

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Model selection and estimation in the Gaussian graphical model

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:4998947

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