Reduced rank regression with possibly non-smooth criterion functions: an empirical likelihood approach
type: Item
instance of: scholarly article
title: Reduced rank regression with possibly non-smooth criterion functions: an empirical likelihood approach
zbMATH Open document ID: 1466.62067
author: Heng Lian
author: Fukang Zhu
author: Sanying Feng
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6918220
zbMATH Keywords: asymptotic normality
zbMATH Keywords: empirical likelihood
zbMATH Keywords: median regression
zbMATH Keywords: quantile regression
MaRDI profile type: Publication
full work available at URL: j.csda.2016.04.012
OpenAlex ID: W2391068551
cites work: Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
cites work: Asymptotic distribution of the reduced rank regression estimator under general conditions
cites work: Optimal selection of reduced rank estimators of high-dimensional matrices
cites work: Joint variable and rank selection for parsimonious estimation of high-dimensional matrices
cites work: On a Geometric Notion of Quantiles for Multivariate Data
cites work: Reduced Rank Stochastic Regression with a Sparse Singular value Decomposition
cites work: Reduced rank regression via adaptive nuclear norm penalization
cites work: Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
cites work: Bayesian reduced rank regression in econometrics
cites work: Multivariate quantiles and multiple-output regression quantiles: from \(L_{1}\) optimization to halfspace depth
cites work: Extending the scope of empirical likelihood
cites work: Penalized empirical likelihood and growing dimensional general estimating equations
cites work: Empirical Likelihood for Non‐Smooth Criterion Functions
cites work: Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
cites work: Empirical likelihood ratio confidence intervals for a single functional
cites work: Empirical likelihood ratio confidence regions
cites work: Empirical likelihood and general estimating equations
cites work: Penalized high-dimensional empirical likelihood
cites work: Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
cites work: Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
DOI: 10.1016/J.CSDA.2016.04.012
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description: scientific article; zbMATH DE number 6918220