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Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)

Home Page: https://levelup.gitconnected.com/create-your-own-metropolis-hastings-markov-chain-monte-carlo-algorithm-for-bayesian-inference-with-fbabc3f01baa

License: GNU General Public License v3.0

Python 100.00%
astrophysics bayesian-statistics markov-chain mcmc parameter-estimation radial-velocities scientific-computing stochastic-optimization tutorial

mcmc-python's Introduction

Philip Mocz -- @pmocz

Computational Physicist and Software Engineer | Flatiron Institute

๐Ÿ’ฅ I am a computational scientist and software engineer, experienced in developing multi-physics simulation algorithms for advanced heterogeneous computing architectures. I like to develop scientific software for computational fluid dynamics, astrophysics, and plasma physics.

๐Ÿ“ I also blog about simulation methods, accessible at the undergraduate level, using Python, which you can find here: https://philip-mocz.medium.com

๐Ÿ‘‰ Follow me on:

Follow me on Medium! Follow me on Twitter! Follow me on GitHub! Follow me on Linkedin!

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