On the convergence of rank-one multi-target linear regression
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Publication:4987646
DOI10.1080/02331888.2021.1891236zbMath1468.62315OpenAlexW3130383833MaRDI QIDQ4987646
Publication date: 3 May 2021
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2021.1891236
multi-output linear regressionmulti-target linear regressionreduced rank multivariate regressionregression coefficient estimator consistency
Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)
Uses Software
Cites Work
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- On estimation in the reduced-rank regression with a large number of responses and predictors
- Optimal selection of reduced rank estimators of high-dimensional matrices
- Input selection and shrinkage in multiresponse linear regression
- Reduced-rank regression for the multivariate linear model
- Estimating the dimension of a model
- Multivariate reduced-rank regression
- Permutation, parametric and bootstrap tests of hypotheses.
- Generalized inverses. Theory and applications.
- Low rank multivariate regression
- Fast solving of weighted pairing least-squares systems
- Numerical methods for large eigenvalue problems
- ARPACK Users' Guide
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
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