Learning Inference

Notes on statistical inference, with strong themes of astronomy and Bayesianism. Hopefully useful for science students and teachers alike. Issues and pull requests are most welcome! Please do get in touch.

Contents

• Fitting a straight line - ipython notebook comparing linear least squares, simple Bayesian posterior evaluation, and simple Metropolis-Hastings MCMC sampling. April 2015

Contributors, License etc

• Phil Marshall (KIPAC)
• Dustin Lang (Carnegie Mellon University)

Distributed under GPLv2. Share and share alike!