statistical independence testing

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Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
  9 Jun 2022 2 repositories listed
  Most existing CI tests for categorical and ordinal data stratify the sample by the conditioning variables, perform simple independence tests in each stratum, and combine the results.
• Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
  6 Jul 2024 1 repository listed
  Post-nonlinear (PNL) causal models stand out as a versatile and adaptable framework for modeling intricate causal relationships.
• Neural Feature Learning in Function Space
  18 Sep 2023 1 repository listed
  We present a novel framework for learning system design with neural feature extractors.
• copent: Estimating Copula Entropy and Transfer Entropy in R
  27 May 2020 1 repository listed
  Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence (or transfer entropy).