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scientific article; zbMATH DE number 7415090

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7415090

Statements

scholarly article

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publication date

27 October 2021

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full work available at URL

https://jmlr.csail.mit.edu/papers/v22/19-969.html

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zbMATH Keywords

high dimension

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imaging genetics

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matrix linear regression

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optimal minimax rate

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variable selection

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MaRDI profile type

MaRDI publication profile

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Two-Point Step Size Gradient Methods

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Best subset selection via a modern optimization lens

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Statistics for high-dimensional data. Methods, theory and applications.

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

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Extended BIC for small-n-large-P sparse GLM

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Dimension folding PCA and PFC for matrix-valued predictors

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Matrix Variate Regressions and Envelope Models

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Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models

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Sure Independence Screening for Ultrahigh Dimensional Feature Space

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Sure independence screening in generalized linear models with NP-dimensionality

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Testing and Modeling Dependencies Between a Network and Nodal Attributes

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Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates

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Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data

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Nonparametric matrix response regression with application to brain imaging data analysis

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L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses

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Sparse Matrix Graphical Models

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On dimension folding of matrix- or array-valued statistical objects

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Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates

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A review of statistical methods in imaging genetics

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Introductory lectures on convex optimization. A basic course.

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Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls

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Estimating the dimension of a model

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Introduction to nonparametric estimation

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On matrix-variate regression analysis

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Forward Regression for Ultra-High Dimensional Variable Screening

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Shrinkage Tuning Parameter Selection with a Diverging number of Parameters

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The Sparse MLE for Ultrahigh-Dimensional Feature Screening

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Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression

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A block coordinate gradient descent method for regularized convex separable optimization and covariance selection

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Principled sure independence screening for Cox models with ultra-high-dimensional covariates

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Structured lasso for regression with matrix covariates

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Regularized Matrix Regression

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Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities

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Model-Free Feature Screening for Ultrahigh-Dimensional Data

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5159419

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