Capturing between-tasks covariance and similarities using multivariate linear mixed models
From MaRDI portal
Publication:2209832
DOI10.1214/20-EJS1764zbMath1453.62516arXiv1812.03662MaRDI QIDQ2209832
Publication date: 5 November 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.03662
EM algorithmregularization methodsmultivariate regressionpenalized likelihoodcovariance selectionsparse precision matrix
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)
Uses Software
Cites Work
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- A sparse conditional Gaussian graphical model for analysis of genetical genomics data
- Sparse inverse covariance estimation with the graphical lasso
- prophet
- Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood
- Optimal selection of reduced rank estimators of high-dimensional matrices
- Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
- Adaptive multivariate ridge regression
- Reduced-rank regression for the multivariate linear model
- Sparse permutation invariant covariance estimation
- Support union recovery in high-dimensional multivariate regression
- Sparse reduced-rank regression with covariance estimation
- Covariance-Regularized Regression and Classification for high Dimensional Problems
- Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure
- Model selection and estimation in the Gaussian graphical model
- Some matrix-variate distribution theory: Notational considerations and a Bayesian application
- Best Linear Unbiased Estimation and Prediction under a Selection Model
- Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
- Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
- An algorithm for the multivariate group lasso with covariance estimation
- The Estimation of Environmental and Genetic Trends from Records Subject to Culling
- Model Selection and Estimation in Regression with Grouped Variables
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Adjustment of an Inverse Matrix Corresponding to a Change in One Element of a Given Matrix
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
- Forecasting at Scale
