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07/06/2021
Fast, universal estimation of latent variable models using extended variational approximations
Generalized linear latent variable models (GLLVMs) are a class of method...
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04/20/2021
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
We introduce a new sparse sliced inverse regression estimator called Cho...
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04/20/2021
Screening methods for linear errors-in-variables models in high dimensions
Microarray studies, in order to identify genes associated with an outcom...
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10/06/2020
Generalized Matrix Factorization
Unmeasured or latent variables are often the cause of correlations betwe...
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11/19/2019
Symbolic Formulae for Linear Mixed Models
A statistical model is a mathematical representation of an often simplif...
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10/03/2018
