Generate random numbers from different probability distributions.
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Updated
Apr 11, 2016 - JavaScript
Generate random numbers from different probability distributions.
This simple interactive app allows the user to calculate probabilities or quantiles from well known probability distributions.
Project that I started during my summer course in probability and statistics. This library has the foundations of various prob/stats functions and requisite custom types.
This is my Ph.D. Thesis, defended at Columbia University in Fall 2017 (Computer Science).
working with a sampling distribution
In this project, the inverse normal Cumulative Distribution Function (CDF), Monte Carlo Expected Value have been implemented with the help of Python functions.
Exercise solution to the Probability Theory course
Type-classes to interface isarn-sketches with Algebird
Probability Distribution Implementation
A text analyzer to tell the sentiment in a given text
PERT - Program evaluation and review technique
A reference for concepts & equations in statistics.
Interactive probability distribution tables for easy handling.
Compute the Fractional Fast Fourier transform
Various projects directly incorporating statistical concepts to generate insights critical to Data Analysis
Simulate and visualize Kendall random walks and related distributions. Available on CRAN
📊 A JavaScript implementation of pseudo-random numbers generators.
Statistics Cheatsheets
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