wiseodd/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
This collection helps you understand and apply powerful statistical sampling techniques for complex problems. It takes in a statistical distribution you want to analyze and provides samples that approximate that distribution, enabling you to make inferences or model uncertainties. This is primarily for statisticians, data scientists, or researchers working with probabilistic models.
390 stars. No commits in the last 6 months.
Use this if you need to draw samples from probability distributions that are difficult to sample directly, especially for academic study or initial exploration.
Not ideal if you require production-ready, highly optimized MCMC implementations for large-scale, real-world applications.
Stars
390
Forks
127
Language
Python
License
BSD-3-Clause
Category
Last pushed
Dec 20, 2017
Commits (30d)
0
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