:rocket: 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.

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

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-GammaGamma-CLTV CLTV-Analysis

Breast Cancer Survival Analysis using SAS on METABRIC dataset to identify key survival factors with Kaplan-Meier, Cox models, and gamma distributions

All major algorithms for Random Variables generation from Gamma Distribution.

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)

Score-based Bayesian model to predict NFL 2020 championship

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

Python package for frontier analysis

Raku package for statistical distributions and related random variates generations.

Heatmap and contour of Λ(ε, α, κ) = E[X / (1 + X)] − α, where X follows a Gamma(k, θ) distribution. Computed using Gauss–Laguerre quadrature in log-space for numerical stability, with analytic continuation and high-precision special functions via mpmath.

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

Aplikasi Shiny untuk mendemonstrasikan Hukum Bilangan Besar.

code for printing stem and leaf plots

By counting the number of people leaving the sauna, simulation is performed to estimate the time spent in the sauna.

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

These projects were a part of our course work under Prof. Arunabha Majumdar.

Bayesian group comparison models using Gaussian and Gamma likelihoods with hierarchical partial pooling in PyMC.

Analysis of a corpus of manuscripts, both published and unpublished in scientific journals, in the field of radar systems, gas dynamics, and scientometrics

Estimating common parameters of the distribution of a successive Random dilution. A comparative study.

No description provided.

Statistic and Probability Course Term Project

don't look at this for now pls

Likelihood-ratio test for samples from gamma-distributed populations.