R package for adaptive correlation and covariance matrix shrinkage.
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Updated
Jan 23, 2019 - R
R package for adaptive correlation and covariance matrix shrinkage.
My Master's thesis on Bayesian Classification with Regularized Gaussian Models
Introduction to Data Mining
Jackstraw Weighted Shrinkage Methods
R package for Dirichlet adaptive shrinkage and smoothing
Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.
Base saturation percentage determination using shrinkage method. Due to the multicollinearity issue, we chose shrinkage/penalized/regularized regression. Since, we have small number of samples, we had no luxury of having separate test set of data, so we did iterated k-Fold cross validation.
R code for figures, simulations and application in my Masters thesis and corresponding conference paper on the LASSO and other shrinkage methods
Accelerated matrix Factorization via Infinite Latent Elements with structured shrinkage
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