Pages that link to "Item:Q394080"

The following pages link to Correlated variables in regression: clustering and sparse estimation (Q394080):

Displaying 27 items.

• Correlation and variable importance in random forests (Q58729) (← links)
• A Cluster Elastic Net for Multivariate Regression (Q63195) (← links)
• Extensions of stability selection using subsamples of observations and covariates (Q340859) (← links)
• Discussion of ``Correlated variables in regression: clustering and sparse estimation'' (Q394081) (← links)
• Bayesian linear regression with sparse priors (Q888501) (← links)
• The cluster graphical Lasso for improved estimation of Gaussian graphical models (Q1623817) (← links)
• Spatially relaxed inference on high-dimensional linear models (Q2080369) (← links)
• Robust grouped variable selection using distributionally robust optimization (Q2159460) (← links)
• Hierarchical inference for genome-wide association studies: a view on methodology with software (Q2184390) (← links)
• A clustering-based feature selection method for automatically generated relational attributes (Q2241179) (← links)
• MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression (Q2302492) (← links)
• A component lasso (Q3463403) (← links)
• Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
• A General Framework for Estimation and Inference From Clusters of Features (Q4690957) (← links)
• Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs (Q5027037) (← links)
• Modeling association between multivariate correlated outcomes and high-dimensional sparse covariates: the adaptive SVS method (Q5036571) (← links)
• Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail (Q5041338) (← links)
• The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty (Q5162621) (← links)
• Weak signals in high‐dimensional regression: Detection, estimation and prediction (Q5213967) (← links)
• (Q5262134) (← links)
• Group linear algorithm with sparse principal decomposition: a variable selection and clustering method for generalized linear models (Q6099122) (← links)
• On the Use of Minimum Penalties in Statistical Learning (Q6552530) (← links)
• Numerical characterization of support recovery in sparse regression with correlated design (Q6558520) (← links)
• Bayesian latent factor on image regression with nonignorable missing data (Q6627936) (← links)
• Sequential knockoffs for continuous and categorical predictors: with application to a large psoriatic arthritis clinical trial pool (Q6628116) (← links)
• A sequential rejection testing method for high-dimensional regression with correlated variables (Q6632724) (← links)
• Split Regularized Regression (Q6636551) (← links)