Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021

A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

PyPi package for modelling Probability distributions

[R] Statistical analysis of financial data conducted in R

deepIRF - A deep learning approach for reverse-broadening the instrumental response (IRF) in lifetime spectra

Generation of random samples using R

Go implementation of the Xoroshiro128++, Xoshiro256++, and Xoshiro512++ pseudo random number generators

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

Raku package for statistical distributions and related random variates generations.

Distinguish power-law and geometric (discrete exponential) distributions using RStan with bridge sampling

M/M/1 model, exponential distribution, simulation model of manufacturing system

Elements related to the exponential distribution

A simulation of an ACPC Grading System Server where multiple computers process incoming tasks. The system handles exponential interarrival and service times with a FIFO queue mechanism and calculates key performance metrics like average delay time, waiting time, and time-based average queue length.

Frequency analysis for confirmed cases of COVID-19 in 17 countries.

This is a set of Python Codes related to a basic data science Probability Course at a masters level.

Repository with statistical functions via Python

This Shiny application allows users to visualize the cumulative distribution functions (CDFs) of a random variable 𝑥 following one of the selected probability distributions: Standard Normal Distribution - 𝑁(0,1) , General Normal Distribution - 𝑁(𝜇,𝜎^2) or Exponential Distribution - 𝐸𝑥𝑝(𝜆). Users can select the distribution's parameters.

Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Statistical Inference Course Peer Review project repo: date created 60806

code for printing stem and leaf plots