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Generalized co-sparse factor regression (Q830453)

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scientific article; zbMATH DE number 7345826

Language	Label	Description	Also known as
English	Generalized co-sparse factor regression	scientific article; zbMATH DE number 7345826

Statements

scholarly article

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Generalized co-sparse factor regression (English)

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Computational Statistics and Data Analysis

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publication date

7 May 2021

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full work available at URL

https://arxiv.org/abs/2010.08134

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zbMATH Keywords

divide-and-conquer

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integrative analysis

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multivariate learning

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singular value decomposition

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describes a project that uses

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MaRDI profile type

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Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions

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Adaptive multivariate ridge regression

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Optimal selection of reduced rank estimators of high-dimensional matrices

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Joint variable and rank selection for parsimonious estimation of high-dimensional matrices

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Exact matrix completion via convex optimization

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Reduced Rank Stochastic Regression with a Sparse Singular value Decomposition

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Reduced rank regression via adaptive nuclear norm penalization

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Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection

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Response models for mixed binary and quantitative variables

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Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering

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Biconvex sets and optimization with biconvex functions: a survey and extensions

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Ridge Regression: Biased Estimation for Nonorthogonal Problems

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Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion

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Leveraging mixed and incomplete outcomes via reduced-rank modeling

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Estimation of (near) low-rank matrices with noise and high-dimensional scaling

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Support union recovery in high-dimensional multivariate regression

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Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer

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Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses

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A unified convergence analysis of block successive minimization methods for nonsmooth optimization

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An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors

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Reduced rank vector generalized linear models for feature extraction

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SOFAR: Large-Scale Association Network Learning

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Reduced-rank vector generalized linear models

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Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression

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Regularization and Variable Selection Via the Elastic Net

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On the adaptive elastic net with a diverging number of parameters

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.CSDA.2020.107127

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Sitelinks

Mathematics(1 entry)

mardi Publication:830453

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