A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
-
Updated
Mar 15, 2023 - Python
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
Topics: Normal distribution, Functions of Random Variables
R framework for a Unified Dispersal Kernel Analysis
Gradational Gaussian Distribution
Python package with a class that allows pipeline-like specification and execution of regression workflows.
A Prototype For Fitting Monotonic Cubic Splines to a Tdigest Sketch
Repeatable pseudo-random sampling, CDF over most known probability distributions.
Ronald Fisher accused Mendel, the founder of genetics, of altering his data. Is there evidence to suggest that Mendel really may have fudged his numbers?
cdflib in WebAssembly. Compute cumulative distribution functions, inverses, and parameters of statistical distributions
📈 📉 Sql Server Normal Distribution, Gauss or Bell Curve and Cumulative normal distribution
TIme-Series on Stocks Datasets
Solutions for the basic statictics problems
Program to identify more reliable product using CDF
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Assignment Advance Stats
A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
distfit is a python library for probability density fitting.
Conformal classifiers, regressors and predictive systems
Add a description, image, and links to the cumulative-distribution-function topic page so that developers can more easily learn about it.
To associate your repository with the cumulative-distribution-function topic, visit your repo's landing page and select "manage topics."