Pages that link to "Item:Q538141"
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The following pages link to Shrinkage tuning parameter selection in precision matrices estimation (Q538141):
Displaying 14 items.
- The spectral condition number plot for regularization parameter evaluation (Q782639) (← links)
- Ridge estimation of inverse covariance matrices from high-dimensional data (Q1659004) (← links)
- Selecting a shrinkage parameter in structural equation modeling with a near singular covariance matrix by the GIC minimization method (Q2258633) (← links)
- Selecting the tuning parameter in penalized Gaussian graphical models (Q2329783) (← links)
- Group-wise shrinkage estimation in penalized model-based clustering (Q2680189) (← links)
- Shrinkage estimation of large dimensional precision matrix using random matrix theory (Q2950201) (← links)
- Model selection and estimation in the Gaussian graphical model (Q3512676) (← links)
- Shrinking characteristics of precision matrix estimators (Q4561011) (← links)
- MARS as an alternative approach of Gaussian graphical model for biochemical networks (Q5138750) (← links)
- (Q5216369) (← links)
- A computationally fast alternative to cross-validation in penalized Gaussian graphical models (Q5220930) (← links)
- Estimation of a sparse and spiked covariance matrix (Q5256289) (← links)
- Partial correlation graphical LASSO (Q6196791) (← links)
- High-dimensional missing data imputation via undirected graphical model (Q6606959) (← links)
