Mixed effects envelope models

Cites Work

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Dimension reduction based on constrained canonical correlation and variable filtering
Dimension reduction for nonelliptically distributed predictors
Envelope-based sparse partial least squares
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Scaled envelopes: scale-invariant and efficient estimation in multivariate linear regression
Inner envelopes: efficient estimation in multivariate linear regression
Partial envelopes for efficient estimation in multivariate linear regression
Sufficient dimension reduction for longitudinal data
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Sufficient dimension reduction through discretization-expectation estimation
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Asymptotic Theory of Overparameterized Structural Models
Sliced Inverse Regression for Dimension Reduction
On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
An Introduction to Envelopes
Groupwise envelope models for imaging genetic analysis
Envelopes and Partial Least Squares Regression
Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
Dimension Reduction in Regressions Through Cumulative Slicing Estimation
Likelihood-Based Sufficient Dimension Reduction
Envelopes and reduced-rank regression
Foundations for Envelope Models and Methods
Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression
Weighted envelope estimation to handle variability in model selection
Sufficient Dimension Reduction via Inverse Regression
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