Algorithms for quantifying associations, independence testing and causal inference from data.
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Updated
Oct 6, 2024 - Julia
Algorithms for quantifying associations, independence testing and causal inference from data.
Distance correlation and related E-statistics in Python
Disentagnled Graph Collaborative Filtering, SIGIR2020
energy package for R
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
Raw files for a summary of various measures of dependency.
Code for the Paper "Evaluating Independence and Conditional Independence Measures"
Data imputation and feature reconstruction using deep learning
A Python Package to Facilitate Statistical Research
Python implementation of Distance Correlation, used to capture the linear and non-linear correlations between two continuous variables.
Explore a newly developed methodology that could allow us to determine the pulsation and orbit periods of binary Cepheids without using any prior knowledge.
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