Pages that link to "Item:Q2323374"

The following pages link to Generalized high-dimensional trace regression via nuclear norm regularization (Q2323374):

Displaying 26 items.

• Double fused Lasso regularized regression with both matrix and vector valued predictors (Q2044365) (← links)
• Quantile trace regression via nuclear norm regularization (Q2070597) (← links)
• High dimensional generalized linear models for temporal dependent data (Q2108473) (← links)
• An optimal statistical and computational framework for generalized tensor estimation (Q2119217) (← links)
• Inference for low-rank tensors -- no need to debias (Q2131273) (← links)
• Large-scale minimum variance portfolio allocation using double regularization (Q2191518) (← links)
• Parallel integrative learning for large-scale multi-response regression with incomplete outcomes (Q2242011) (← links)
• Sparse trace norm regularization (Q2259743) (← links)
• Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions (Q2673202) (← links)
• High-dimensional VARs with common factors (Q2688656) (← links)
• Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data (Q4999134) (← links)
• ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching (Q5027035) (← links)
• Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components (Q5870780) (← links)
• Matrix completion under complex survey sampling (Q6046052) (← links)
• Oracle inequality for sparse trace regression models with exponential \(\beta\)-mixing errors (Q6063342) (← links)
• The rate of convergence for sparse and low-rank quantile trace regression (Q6084393) (← links)
• Robust Recommendation via Social Network Enhanced Matrix Completion (Q6086157) (← links)
• A framework of regularized low-rank matrix models for regression and classification (Q6089218) (← links)
• LOCUS: a regularized blind source separation method with low-rank structure for investigating brain connectivity (Q6104114) (← links)
• Profile GMM estimation of panel data models with interactive fixed effects (Q6108285) (← links)
• Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression (Q6552935) (← links)
• Trustworthy regularized huber regression for outlier detection (Q6564324) (← links)
• Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization (Q6614417) (← links)
• Sequential Scaled Sparse Factor Regression (Q6620886) (← links)
• The statistical rate for support matrix machines under low rankness and row (column) sparsity (Q6640100) (← links)
• Scenario-based quantile connectedness of the U.S. interbank liquidity risk network (Q6664655) (← links)