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Reduced rank stochastic regression with a sparse singular value decomposition

Reduced rank stochastic regression with a sparse singular value decomposition

http://www.wikidata.org/entity/Q57039786

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Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data.Reconstructing source-sink dynamics in a population with a pelagic dispersal phase.Reduced rank regression via adaptive nuclear norm penalization.Learning regulatory programs by threshold SVD regression.Analysis of genome-wide association studies with multiple outcomes using penalization.Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics.On the degrees of freedom of reduced-rank estimators in multivariate regression.A note on rank reduction in sparse multivariate regression.Network-guided regression for detecting associations between DNA methylation and gene expression.Analysis of Double Single Index Models.

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Reduced rank stochastic regression with a sparse singular value decomposition

http://www.wikidata.org/entity/Q57039786

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article

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wetenschappelijk artikel

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наукова стаття, опублікована в листопаді 2011

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name

Reduced rank stochastic regression with a sparse singular value decomposition

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Reduced rank stochastic regression with a sparse singular value decomposition

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type

label

Reduced rank stochastic regression with a sparse singular value decomposition

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Reduced rank stochastic regression with a sparse singular value decomposition

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Reduced rank stochastic regression with a sparse singular value decomposition

@en

Reduced rank stochastic regression with a sparse singular value decomposition

@nl

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J.1467-9868.2011.01002.X

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Journal of the Royal Statistical Society Series B: Statistical Methodology

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Reduced rank stochastic regression with a sparse singular value decomposition

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Kung-Sik Chan

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Capturing heterogeneity in gene expression studies by surrogate variable analysis

Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

Penalized methods for bi-level variable selection.

A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.

Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer.

Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.

Biclustering via sparse singular value decomposition.

Ecological and genetic impact of Atlantic cod larval drift in the Skagerrak.

Adapting to Unknown Smoothness via Wavelet Shrinkage

Least angle regression

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203-221

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scholarly article

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10.1111/J.1467-9868.2011.01002.X

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2

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74

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Nils Christian Stenseth

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2011-11-03T00:00:00Z

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