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10/12/2020
rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices
A graphical model is an undirected network representing the conditional ...
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07/04/2020
Transfer learning of regression models from a sequence of datasets by penalized estimation
Transfer learning refers to the promising idea of initializing model fit...
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01/29/2019
Incorporating prior information and borrowing information in high-dimensional sparse regression using the horseshoe and variational Bayes
We introduce a sparse high-dimensional regression approach that can inco...
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12/06/2018
A parallel algorithm for penalized learning of the multivariate exponential family from data of mixed types
Computational efficient evaluation of penalized estimators of multivaria...
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08/14/2016
The Spectral Condition Number Plot for Regularization Parameter Determination
Many modern statistical applications ask for the estimation of a covaria...
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09/26/2015