Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
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Updated
Oct 2, 2024 - Python
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
sliced: scikit-learn compatible sufficient dimension reduction
A regularized version of RBM for unsupervised feature selection.
Automated Bidirectional Stepwise Selection On Python
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
Code and simulations using an Ensemble of Single-Effect Neural Networks (ESNN)
Topological data analytic approach for discovering biophysical signatures in protein dynamics
[JASA] Sequential Knockoffs for Variable Selection in Reinforcement Learning
Stepwise regression fits a logistic regression model in which the choice of predictive variables is carried out by an automatic forward stepwise procedure.
A Python package for generating candidate models for multi-model inference
PyQt GUI for Monte-Carlo simulation studies of variable selection and prediction over sample sizes
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