Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Statistical Inference Course Peer Review project repo: date created 60806
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Updated
Jul 24, 2016
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Statistical Inference Course Peer Review project repo: date created 60806
Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
deepIRF - A deep learning approach for reverse-broadening the instrumental response (IRF) in lifetime spectra
PyPi package for modelling Probability distributions
Frequency analysis for confirmed cases of COVID-19 in 17 countries.
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
[R] Statistical analysis of financial data conducted in R
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Generation of random samples using R
Elements related to the exponential distribution
Go implementation of the Xoroshiro128++, Xoshiro256++, and Xoshiro512++ pseudo random number generators
code for printing stem and leaf plots
Repository with statistical functions via Python
Implementing multivariate distribution using python.
M/M/1 model, exponential distribution, simulation model of manufacturing system
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