Emcee.readthedocs.io
emcee — emcee
Explore detailed guides and documentation for emcee, a Python tool for Markov chain Monte Carlo (MCMC) sampling and model fitting in data analysis.
Learn emcee MCMC sampling with clear Python guides
emcee's documentation site is your go-to resource for learning how to use the emcee Python package, which implements Markov chain Monte Carlo (MCMC) ensemble sampling. Here, you’ll find step-by-step guides, installation instructions, and clear examples on how to fit models to data using MCMC methods.
Whether you’re a data scientist, researcher, or just curious about Bayesian analysis, you’ll discover explanations of key concepts like autocorrelation analysis, parallelization, and using different sampling moves. The site is designed to help you get started quickly and deepen your understanding as you explore advanced features.
From basic usage to saving progress and monitoring convergence, the documentation makes it easy to integrate emcee into your projects. If you’re working with probabilistic models in Python, this site provides the practical knowledge and reference you need.
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