Skip to content

Latest commit

 

History

History
7 lines (5 loc) · 334 Bytes

README.md

File metadata and controls

7 lines (5 loc) · 334 Bytes

mcmc-importance-sampling

A demonstration of MCMC and importance sampling in the context of Bayesian linear regression.

The notebook uses PyMC3 for MCMC and a simple implementation of importance sampling.

Theoretical details are based on the excellent lecture by Nando de Freitas:
https://www.youtube.com/watch?v=TNZk8lo4e-Q