Different types of Bernstein operators in inference of Gaussian graphical model
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Publication:4966741
DOI10.1080/23311835.2016.1154706zbMath1438.92028OpenAlexW2275743904MaRDI QIDQ4966741
Melih Ağraz, Vilda Purutçuoğlu
Publication date: 27 June 2019
Published in: Cogent Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/23311835.2016.1154706
bioinformaticsstatisticsBernstein operatorssystems biologyGaussian graphical modelMeyer-König and Zeller operatorsBleiman Butzer Hahn operators
Applications of statistics to biology and medical sciences; meta analysis (62P10) Approximation by positive operators (41A36) Systems biology, networks (92C42)
Uses Software
Cites Work
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- Sparse inverse covariance estimation with the graphical lasso
- The Adaptive Lasso and Its Oracle Properties
- Bayesian structure learning in sparse Gaussian graphical models
- On a Bernstein-type operator of Bleimann, Butzer and Hahn
- A note on a Bernstein-type operator of Bleimann, Butzer, and Hahn
- On the asymptotic approximation with operators of Bleimann, Butzer and Hahn
- High-dimensional semiparametric Gaussian copula graphical models
- Efficient Gaussian graphical model determination under \(G\)-Wishart prior distributions
- Pathwise coordinate optimization
- High-dimensional graphs and variable selection with the Lasso
- Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
- Model selection and estimation in the Gaussian graphical model
- Sparsity and Smoothness Via the Fused Lasso
- Bernstein Power Series
- A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models
- The moments for the Meyer-König and Zeller operators
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