Pages that link to "Item:Q3391213"
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The following pages link to Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO (Q3391213):
Displaying 23 items.
- Bayesian Bootstrap Spike-and-Slab LASSO (Q127195) (← links)
- Joint mean-covariance estimation via the horseshoe (Q2022549) (← links)
- Ultra high-dimensional multivariate posterior contraction rate under shrinkage priors (Q2057840) (← links)
- Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures (Q2101407) (← links)
- A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions (Q2152553) (← links)
- Joint variable selection and network modeling for detecting eQTLs (Q2195290) (← links)
- Spike-and-slab Lasso biclustering (Q2233147) (← links)
- Selection of sparse vine copulas in high dimensions with the Lasso (Q2329765) (← links)
- An integrated precision matrix estimation for multivariate regression problems (Q2676914) (← links)
- SLASSO: a scaled LASSO for multicollinear situations (Q3389663) (← links)
- An Expectation Conditional Maximization Approach for Gaussian Graphical Models (Q3391200) (← links)
- Bayesian Variable Selection for Gaussian Copula Regression Models (Q5066444) (← links)
- Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM (Q5083364) (← links)
- Bayesian Regularization for Graphical Models With Unequal Shrinkage (Q5242470) (← links)
- Variable screening in multivariate linear regression with high-dimensional covariates (Q5880134) (← links)
- Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
- Horseshoe Regularisation for Machine Learning in Complex and Deep Models<sup>1</sup> (Q6064351) (← links)
- Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ (Q6080791) (← links)
- The EAS approach to variable selection for multivariate response data in high-dimensional settings (Q6135077) (← links)
- Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm (Q6494387) (← links)
- Response variable selection in multivariate linear regression (Q6593365) (← links)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data (Q6631698) (← links)
- Comment: Regularization via Bayesian Penalty Mixing (Q6636562) (← links)
