🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.

PyPi package for modelling Probability distributions

A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.

The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. （最新权重在咸鱼有售）

BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business

Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.

Statistical models and proofs done for my Bayesian Statistics and Markov Chain/Monte Carlo class at Yale. Original problem statements and prompts available upon request!

Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)

All major algorithms for Random Variables generation from Gamma Distribution.

Score-based Bayesian model to predict NFL 2020 championship

Method of Moments (MoM) estimation for the univariate Gamma distribution

This repository contains statistics analytics using R for some specific questions and data.

Aplikasi Shiny untuk mendemonstrasikan Hukum Bilangan Besar.

Statistic and Probability Course Term Project

don't look at this for now pls

Use GLM to predict insurance claims. Frequency Modelling, Severity Modelling, PurePremium Modelling, Xgboost Tweedie Regression, pygam linear modelling.

Generate some random application logs, useful to teach e.g. AWK

Python package for frontier analysis