aaron1rcl/metropolis_hastings_from_scratch
MCMC Metropolis Hastings and Bayesian Regression from Scratch
This project helps you understand how a core Bayesian statistical method works by building it step-by-step. You'll start with basic data and walk through the process to see how a model's parameters are estimated. It's designed for data scientists, statisticians, or researchers who want to deeply grasp the underlying mechanics of Bayesian regression and MCMC.
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Use this if you are learning about Bayesian regression and Metropolis-Hastings algorithms and want to see the mathematical and computational steps laid out clearly without relying on high-level libraries.
Not ideal if you need to perform robust Bayesian regression for production or research analysis, as it's a pedagogical tool rather than a fully-featured library.
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Dec 28, 2023
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