Sparse directed acyclic graphs incorporating the covariates (Q2208417): Difference between revisions

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scientific article

Language	Label	Description	Also known as
English	Sparse directed acyclic graphs incorporating the covariates	scientific article

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scholarly article

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Sparse directed acyclic graphs incorporating the covariates (English)

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Statistical Papers

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publication date

2 November 2020

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zbMATH Keywords

graphical model

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covariates

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Lasso

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coordinate descent

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Bayesian network

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describes a project that uses

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MaRDI profile type

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full work available at URL

https://doi.org/10.1007/s00362-018-1027-8

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Statistical mechanics of complex networks

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

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Covariate-adjusted precision matrix estimation with an application in genetical genomics

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A sparse ising model with covariates

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A Bayesian method for the induction of probabilistic networks from data

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Introduction to Graphical Modelling

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Pathwise coordinate optimization

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Sparse inverse covariance estimation with the graphical lasso

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Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent

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\(\mathsf{PenPC}\): a two-step approach to estimate the skeletons of high-dimensional directed acyclic graphs

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Beitrag zur Theorie des Ferromagnetismus

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Sparsistency and rates of convergence in large covariance matrix estimation

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Sparse Matrix Graphical Models

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Identifiability of directed Gaussian graphical models with one latent source

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Penalized maximum likelihood estimation of multi-layered Gaussian graphical models

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High-dimensional graphs and variable selection with the Lasso

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Partial Correlation Estimation by Joint Sparse Regression Models

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Identifiability of Gaussian structural equation models with equal error variances

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High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression

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

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Sparse permutation invariant covariance estimation

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Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs

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Causation, prediction, and search

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\(\ell_{0}\)-penalized maximum likelihood for sparse directed acyclic graphs

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Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

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Coordinate descent algorithms for lasso penalized regression

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A sparse conditional Gaussian graphical model for analysis of genetical genomics data

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Model selection and estimation in the Gaussian graphical model

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Gemini: graph estimation with matrix variate normal instances

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Identifiers

zbMATH Open document ID

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10.1007/s00362-018-1027-8

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2208417

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