Skip to content

usc-cosmolab/pymc3_tutorial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

PyMC3 Tutorial

The notebook pymc3_tutorial.ipynb contains a short PyMC3 tutorial. There we simulate some data using a sine function with amplitude A and wave number k as an underlying model. Then we add some Gaussian noise on top to emulate a mock observation. Finally using PyMC3 we infer the underlying parameters using MCMC chains.

In order to run the whole notebook you need the pymc3 python package for the inference section, as well as getdist (or pygtc) for the contour plots.

pip install pymc3
pip install getdist

and/or

pip install pygtc

Sneak Peek

About

A Quickstart Guide to PyMC3

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published