D-Trace estimation of a precision matrix with eigenvalue control
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Publication:5082604
DOI10.1080/03610918.2019.1580730zbMath1489.62176OpenAlexW2921282765WikidataQ128232242 ScholiaQ128232242MaRDI QIDQ5082604
Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1580730
Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic graphical models (62H22)
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- A joint convex penalty for inverse covariance matrix estimation
- Ridge estimation of inverse covariance matrices from high-dimensional data
- Sparse permutation invariant covariance estimation
- Network exploration via the adaptive LASSO and SCAD penalties
- D-trace estimation of a precision matrix using adaptive lasso penalties
- High-dimensional graphs and variable selection with the Lasso
- A Gaussian graphical model approach to climate networks
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- Model selection and estimation in the Gaussian graphical model
- Almost the Best of Three Worlds: Risk, Consistency and Optional Stopping for the Switch Criterion in Nested Model Selection
- Sparse precision matrix estimation via lasso penalized D-trace loss
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