Algorithms for quantifying associations, independence testing and causal inference from data.
-
Updated
Nov 22, 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.
Add a description, image, and links to the distance-correlation topic page so that developers can more easily learn about it.
To associate your repository with the distance-correlation topic, visit your repo's landing page and select "manage topics."