Pages that link to "Item:Q5087443"

The following pages link to Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression (Q5087443):

Displaying 22 items.

• Bayesian Sparse Partial Least Squares (Q5378291) (← links)
• Dimension reduction in regression without matrix inversion (Q5447650) (← links)
• High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition (Q5881139) (← links)
• Minimax estimation in multi-task regression under low-rank structures (Q5881428) (← links)
• Exact penalization for cardinality and rank-constrained optimization problems via partial regularization (Q5882242) (← links)
• Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data (Q5885097) (← links)
• Partitioning predictors in multivariate regression models (Q5962738) (← links)
• Multiple change points detection in high-dimensional multivariate regression (Q6052523) (← links)
• Multivariate functional response low‐rank regression with an application to brain imaging data (Q6059496) (← links)
• An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions (Q6069866) (← links)
• Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression (Q6086172) (← links)
• Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization (Q6104399) (← links)
• Variable selection in multivariate linear regression with random predictors (Q6112086) (← links)
• Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
• D4R: doubly robust reduced rank regression in high dimension (Q6556782) (← links)
• Reducing bias and mitigating the influence of excess of zeros in regression covariates with multi-outcome adaptive LAD-lasso (Q6573032) (← links)
• Detecting clusters in multivariate response regression (Q6602354) (← links)
• Integrative analysis of `-omics' data using penalty functions (Q6604445) (← links)
• Penalisation methods in fitting high-dimensional cointegrated vector autoregressive models: a review (Q6612363) (← links)
• Sequential Scaled Sparse Factor Regression (Q6620886) (← links)
• Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression (Q6631875) (← links)
• A fully Bayesian approach to sparse reduced-rank multivariate regression (Q6664998) (← links)