Sparse Multivariate Regression With Covariance Estimation.
about
Selective association between cortical thickness and reference abilities in normal aging.Graphical Models for Ordinal DataMultivariate Boosting for Integrative Analysis of High-Dimensional Cancer Genomic Data.Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesA SPARSE CONDITIONAL GAUSSIAN GRAPHICAL MODEL FOR ANALYSIS OF GENETICAL GENOMICS DATA.Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.Improved intact soil-core carbon determination applying regression shrinkage and variable selection techniques to complete spectrum laser-induced breakdown spectroscopy (LIBS).Learning gene networks under SNP perturbations using eQTL datasets.Learning the Structure of Mixed Graphical Models.Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics.Calibrated Multivariate Regression with Application to Neural Semantic Basis DiscoveryAdjusting for High-dimensional Covariates in Sparse Precision Matrix Estimation by ℓ1-Penalization.Model diagnostics in reduced-rank estimationCovariate-Adjusted Precision Matrix Estimation with an Application in Genetical Genomics.Bayesian model selection in complex linear systems, as illustrated in genetic association studies.Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma.VARIABLE SELECTION FOR HIGH DIMENSIONAL MULTIVARIATE OUTCOMES.A regularized multivariate regression approach for eQTL analysis.A robust multiple-locus method for quantitative trait locus analysis of non-normally distributed multiple traits.Using Raw VAR Regression Coefficients to Build Networks can be Misleading.Sparse canonical correlation analysis from a predictive point of view.Multivariate Regression with Calibration.Multiple Response Regression for Gaussian Mixture Models with Known LabelsSimultaneous Multiple Response Regression and Inverse Covariance Matrix Estimation via Penalized Gaussian Maximum Likelihood.Bayesian sparse partial least squares.A Selection Operator for Summary Association Statistics Reveals Allelic Heterogeneity of Complex Traits.Regularized estimation in sparse high-dimensional multivariate regression, with application to a DNA methylation study.Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis.High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma.Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connections.
P2860
Q30276481-22765BCA-73F5-4880-ABC2-3DEB8B38704EQ30977276-6EDB0BA7-EC01-43CA-A237-DAEF8F1E3C6AQ31028324-9D399FBA-D090-4EA3-805B-3605BF311F0EQ31158488-FA7760BF-8137-4CC7-B36A-1A512B033080Q34384169-5F8E4D98-F44E-41BE-A877-C6EAFE85B403Q34400237-EBA5C0C1-4A9D-4281-9F46-02BD3408C845Q34997895-4952A1BF-BED0-496A-A075-5F41EAA2B179Q35105560-55465EE0-9535-4756-8FFA-41E167CF71A4Q35737954-B703BCA9-E101-43CE-9434-1E9C9D0E4D97Q36069805-59F55A8A-5242-4917-BDE1-D59A79C5E0D6Q36313900-F8F8FA0C-AF87-4FF1-9E7F-EBBA476E5A51Q36841995-30F47318-D887-4CBB-B0BC-2F347694FA7BQ37515531-350350C9-15A4-42B5-98BD-E6ACC04445DDQ37701449-A5204673-D961-43A2-BB18-306104DE9C71Q38273854-B74A4339-4E3F-4965-8EB0-51DA66763D60Q38637824-222CE052-EFC0-4B09-B60F-ADEEC6256D57Q38712976-DC7C36BB-430B-4C93-AB89-93068AFD6E2CQ38994558-577B75A8-2B14-40E6-A95A-746AFD9FE43FQ39469729-66C06111-36D0-41A0-8C90-02418997DF4EQ39877566-C5E8C286-1F38-4494-A4E5-9E695BB17F0AQ40765465-513E1971-517B-4DDF-9F1A-9D33BD5433F4Q41840574-63F66105-9136-4D67-9F43-00B320F50486Q41859897-6FC1CFAE-017E-4AE1-A0DE-CDBD178C13E6Q42229538-BEB1257C-76FC-47C7-A618-B1C6870D3ACBQ49018533-97D1197E-8401-496D-B60E-2DADA56D0912Q49338261-B0BA7A51-A3EE-4162-9F95-78BD16C4B324Q49526690-6708A4B9-ECD5-441F-B828-0B2633BD3CD9Q51227330-FC5A54BD-DD1E-4F2E-A7D6-A976798DA596Q52647551-D78088BF-FAD1-4936-8260-630546D613C1Q55317833-C078A5B6-62A5-445F-BE82-A260F0C86AF3
P2860
Sparse Multivariate Regression With Covariance Estimation.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Sparse Multivariate Regression With Covariance Estimation.
@ast
Sparse Multivariate Regression With Covariance Estimation.
@en
type
label
Sparse Multivariate Regression With Covariance Estimation.
@ast
Sparse Multivariate Regression With Covariance Estimation.
@en
prefLabel
Sparse Multivariate Regression With Covariance Estimation.
@ast
Sparse Multivariate Regression With Covariance Estimation.
@en
P2093
P2860
P356
P1476
Sparse Multivariate Regression With Covariance Estimation.
@en
P2093
Adam J Rothman
Elizaveta Levina
P2860
P304
P356
10.1198/JCGS.2010.09188
P577
2010-01-01T00:00:00Z