poisson-distribution

Single file, header-only, no-dependencies C++ library for Poisson disk sampling in arbitrary dimensions.

A library providing math and statistics operations for numbers of arbitrary size.

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

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

Prediction of Premier league standings using Poisson distribution

10 Days of Statistics Challenges at HackerRank

A Python library for working with and training Hidden Markov Models with Poisson emissions.

Making World Cup 2018 predictions using statistical modeling with Python and player data from the FIFA 18 video game.

Data Science Portfolio

A collection of probability models applied to football

Calculating attack strength and defense of teams. Determining games results using Poisson Distribution.

This repository contains FDP'18 presentations and R scripts.

Finding of the missed values in the adjacency matrix of a big undirected weighted graph by utilizing probabilistic graphical models. The adjacency matrix's values were modeled with Poisson distribution and Gamma prior.

Simulation model to run scenarios on staffing/operations readiness for a call center

Distribution plots

Lottery analysis

Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

Code for the S3 2017 summer school project "Who's winning it? – Forecasting sports tournaments"

Statistics library for Dart

Set of functions for Queueing Theory Course at the University of Nizhny Novgorod

🟡🔵 Studio della variabile aleatoria di Poisson

This program generates random variables using the Poisson distribution. The Poisson distribution is a discrete probability distribution that expresses, based on a mean frequency of occurrence, the probability that a certain number of events will occur during a certain period of time. Specifically, it specializes in the probability of occurrence of events with very small probabilities

The Poisson distribution https://en.wikipedia.org/wiki/Poisson_distribution is a discrete probability distribution often used to describe count-based data, like how many snowflakes fall in a day. If we have count data 𝑦 that are influenced by a covariate or feature 𝑥, we can use the maximum likelihood principle to develop a regression model relating 𝑥 to 𝑦.

modeling of the arrival of random events by a Poisson process and study of its properties (Apr - Jul 2019)

MSDS 410 Data Modeling for Supervised Learning (R)

Using physical and statistical principles of light to enhance denoising of cell images