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Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Uses several statistical tests / algorithms on marginal / conditional distributions
R package for testing network dependence
This repository contains code for identifying correlation in a stream of samples. The sketching of sketches algorithm and the counter matrix algorithm are implemented and benchmarked.
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
MMD and HSIC for non-stationary random processes
Heller-Heller-Gorfine multivariate test of association
Stats HW chat bot that solves chi-square problems involving goodness of fit, homogeneity, or independence
Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.
analysis of contingency tables and their residuals, with a bootstrap correction for multiple testing
📉HealthCare Dataset Statistical Analysis, Statistical Inference course, University of Tehran