Comparison of several approaches for the PRIvate ESTimation of KL-Divergence (PRIEST-KLD)
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Updated
Nov 24, 2024 - Python
Comparison of several approaches for the PRIvate ESTimation of KL-Divergence (PRIEST-KLD)
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.
Time series analysis on correlated data
Display and analyze ROC curves in R and S+
ARCH models in Python
Perform a one-way analysis of variance.
Two-sample F-test for equal variances
Levene's test for equal variances.
Chi distribution variance.
Fréchet distribution variance.
Weibull distribution variance.
Kumaraswamy's double bounded distribution variance.
Lognormal distribution variance.
Arcsine distribution variance.
Discrete uniform distribution standard deviation.
Discrete uniform distribution variance.
F distribution variance.
Inverse gamma distribution variance.
Pareto (Type I) distribution variance.
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