Statistical package in Python based on Pandas
-
Updated
Feb 25, 2026 - Python
Statistical package in Python based on Pandas
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
Fast and flexible two- and three-point correlation analysis for time series using spectral methods.
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
A Python utility for Cramer's V Correlation Analysis for Categorical Features in Pandas Dataframes.
A network model for studying the relation between temporal dynamics and connectivity structure
A New Parametrization of Correlation Matrices
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics (correlation matrix).
A web scraper and some ML analysis scripts for recipe data
Code for "Disentanglement and Generalization Under Correlation Shifts," CoLLAs 2022. https://arxiv.org/abs/2112.14754
Add a description, image, and links to the correlations topic page so that developers can more easily learn about it.
To associate your repository with the correlations topic, visit your repo's landing page and select "manage topics."