Python package for conformal prediction
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Updated
Sep 21, 2024 - Python
Python package for conformal prediction
distfit is a python library for probability density fitting.
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)
Repeatable pseudo-random sampling, CDF over most known probability distributions.
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
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cdflib in WebAssembly. Compute cumulative distribution functions, inverses, and parameters of statistical distributions
Topics: Normal distribution, Functions of Random Variables
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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.
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?
Solutions for the basic statictics problems
Program to identify more reliable product using CDF
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