Pages that link to "Item:Q977622"
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The following pages link to Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer (Q977622):
Displaying 29 items.
- Reduced rank ridge regression and its kernel extensions (Q4969815) (← links)
- Bayesian model selection in complex linear systems, as illustrated in genetic association studies (Q4979229) (← links)
- On Sure Screening with Multiple Responses (Q5037785) (← links)
- Sparse Single Index Models for Multivariate Responses (Q5066421) (← links)
- An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression (Q5066446) (← links)
- Overlapping group lasso for high-dimensional generalized linear models (Q5076945) (← links)
- Smooth and locally sparse estimation for multiple-output functional linear regression (Q5107712) (← links)
- Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures (Q5120660) (← links)
- An algorithm for the multivariate group lasso with covariance estimation (Q5139028) (← links)
- Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension (Q5155185) (← links)
- (Q5214258) (← links)
- AUTOMATED ESTIMATION OF VECTOR ERROR CORRECTION MODELS (Q5255876) (← links)
- A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis (Q5408029) (← links)
- Variable screening in multivariate linear regression with high-dimensional covariates (Q5880134) (← links)
- A selective review of group selection in high-dimensional models (Q5965305) (← links)
- Structural factor equation models for causal network construction via directed acyclic mixed graphs (Q6074501) (← links)
- Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization (Q6104399) (← links)
- Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
- The EAS approach to variable selection for multivariate response data in high-dimensional settings (Q6135077) (← links)
- Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting (Q6200890) (← links)
- Bayesian feature selection in high-dimensional regression in presence of correlated noise (Q6537799) (← links)
- D4R: doubly robust reduced rank regression in high dimension (Q6556782) (← links)
- Response variable selection in multivariate linear regression (Q6593365) (← links)
- Detecting clusters in multivariate response regression (Q6602354) (← links)
- Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization (Q6621650) (← links)
- Conditional Gaussian graphical model for estimating personalized disease symptom networks (Q6622258) (← links)
- Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion (Q6628413) (← links)
- Generalized finite mixture of multivariate regressions with applications to therapeutic biomarker identification (Q6629898) (← links)
- A Comprehensive Bayesian Framework for Envelope Models (Q6631711) (← links)
