Distance correlation and related E-statistics in Python
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Oct 8, 2026 - Python
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distance-correlation
Here are 13 public repositories matching this topic...
Algorithms for quantifying associations, independence testing and causal inference from data.
entropy time-series julia julia-language network-inference hacktoberfest associations causal-inference mutual-information distance-correlation transfer-entropy conditional-mutual-information causal-graphs independence-testing cross-mapping predictive-asymmetry surrogate-data partial-mutual-information
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Jul 26, 2026 - Julia
Disentagnled Graph Collaborative Filtering, SIGIR2020
collaborative-filtering recommender-system recommendation distance-correlation disentangled-representations neural-collaborative-filtering graph-neural-networks personalized-recommendation sigir2020 disentangled-graph-neural-networks independence-modeling
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Jul 11, 2020 - Python
energy package for R
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Aug 27, 2024 - R
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
variable-importance variable-selection feature-selection feature-engineering hsic mutual-information distance-correlation copula-entropy
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May 9, 2022 - R
Raw files for a summary of various measures of dependency.
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Dec 10, 2016 - TeX
Code for the Paper "Evaluating Independence and Conditional Independence Measures"
benchmarking kernel-methods independence-tests distance-correlation copula-entropy conditional-independence-test
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Aug 17, 2026 - R
Data imputation and feature reconstruction using deep learning
deep-learning neural-network pytorch ipynb autoencoder distance-correlation correlation-coefficient data-imputation
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Aug 28, 2020 - Jupyter Notebook
Python implementation of Distance Correlation, used to capture the linear and non-linear correlations between two continuous variables.
statistics correlation scipy descriptive-statistics distance-correlation correlation-coefficient correlation-analysis
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Sep 16, 2021 - Python
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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Jan 19, 2024 - Jupyter Notebook
4. Korelacija / zavisnost Pearson, Spearman, Kendall, partial correlation, distance correlation, Hoeffding D, MIC/MINE, maximal correlation, mutual information, conditional MI, normalized MI, pointwise MI (PMI), HSIC, copula (Gaussian, Clayton, Gumbel, Frank, t-copula), rank correlation matrices
python correlation distance prediction pearson lotto lottery distance-correlation hoeffding pearson-correlation spearman loto kendall partial-correlations pearson-correlation-coefficient kendall-correlation-coefficient spearman-correlation
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Jul 10, 2026 - Python
A Python Package to Facilitate Statistical Research
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Aug 12, 2019 - Jupyter Notebook
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