Pages that link to "Item:Q140838"
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The following pages link to A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis (Q140838):
Displaying 50 items.
- Generalized canonical correlation analysis for classification (Q2252903) (← links)
- From simple structure to sparse components: a review (Q2259727) (← links)
- Discriminative variable selection for clustering with the sparse Fisher-EM algorithm (Q2259731) (← links)
- Data science, big data and statistics (Q2273155) (← links)
- Efficient computation for differential network analysis with applications to quadratic discriminant analysis (Q2291319) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- Certifiably optimal sparse principal component analysis (Q2293653) (← links)
- Adaptive gPCA: a method for structured dimensionality reduction with applications to microbiome data (Q2318673) (← links)
- Approximated penalized maximum likelihood for exploratory factor analysis: an orthogonal case (Q2318820) (← links)
- A note on rank reduction in sparse multivariate regression (Q2323156) (← links)
- PLS for Big Data: a unified parallel algorithm for regularised group PLS (Q2323935) (← links)
- Semi-sparse PCA (Q2331152) (← links)
- Robust computation of linear models by convex relaxation (Q2351804) (← links)
- Nonconvex and nonsmooth optimization with generalized orthogonality constraints: an approximate augmented Lagrangian method (Q2399164) (← links)
- IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data (Q2405418) (← links)
- Random matrix theory in statistics: a review (Q2453609) (← links)
- Envelope-based sparse reduced-rank regression for multivariate linear model (Q2692933) (← links)
- Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information (Q3119840) (← links)
- On Cross-Validation for Sparse Reduced Rank Regression (Q3120104) (← links)
- Dynamic Assortment Personalization in High Dimensions (Q3387950) (← links)
- Guided Projections for Analyzing the Structure of High-Dimensional Data (Q3391156) (← links)
- Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem (Q3391278) (← links)
- On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation (Q3614953) (← links)
- ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions (Q4690955) (← links)
- Sparse partial least squares regression for on‐line variable selection with multivariate data streams (Q4969714) (← links)
- Sparse principal balances (Q4971411) (← links)
- (Q4998937) (← links)
- (Q4999095) (← links)
- Discussion of “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data” (Q4999117) (← links)
- Why Are Big Data Matrices Approximately Low Rank? (Q5025778) (← links)
- On Sure Screening with Multiple Responses (Q5037785) (← links)
- Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association (Q5044698) (← links)
- (Q5054600) (← links)
- A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data (Q5070506) (← links)
- Eigenvectors from Eigenvalues Sparse Principal Component Analysis (Q5084448) (← links)
- On the rank-deficient canonical correlation technique solved by analytic spectral decomposition (Q5085658) (← links)
- Sparse canonical correlation analysis algorithm with alternating direction method of multipliers (Q5088121) (← links)
- Using ℓ1-Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA (Q5095184) (← links)
- [HDDA] sparse subspace constrained partial least squares (Q5107373) (← links)
- Simultaneous Covariance Inference for Multimodal Integrative Analysis (Q5120666) (← links)
- Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components (Q5138188) (← links)
- Simple components (Q5139087) (← links)
- Targeted Random Projection for Prediction From High-Dimensional Features (Q5146048) (← links)
- (Q5149011) (← links)
- Inexact primal–dual gradient projection methods for nonlinear optimization on convex set (Q5151505) (← links)
- Some Statistical Problems with High Dimensional Financial data (Q5227362) (← links)
- Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations (Q5231486) (← links)
- Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective (Q5380852) (← links)
- A Sparse Decomposition of Low Rank Symmetric Positive Semidefinite Matrices (Q5737757) (← links)
- Large Covariance Estimation by Thresholding Principal Orthogonal Complements (Q5743151) (← links)
