Course notes and resources for Stanford University graduate lecture course PHYS366.
This course is intended to provide an introduction to modern statistical methodology, and its applications to problems in astrophysics and cosmology, and is aimed at graduate students intending to do research in this area. We strongly encourage most first and second year students working in KIPAC to take the course. Our goal is to provide a background that will be directly relevant to the kind of problems that typical KIPAC students will encounter in their research.
Our goal is that students taking this course will:
- develop familiarity in working with various types of astronomical data.
- understand the role of modeling in data analysis.
- develop facility with various types of inference from data.
- be able to critically evaluate and apply commonly used statistical methodologies.
- be able to apply advanced statistical reasoning to problems they are likely to encounter in their research.
- Browse the lessons on GitHub. You can also fork and clone the repository, and run the notebooks locally.
All materials Copyright 2015, 2017 Adam Mantz and Phil Marshall, and distributed for copying and extension under the GPLv2 License, unless otherwise noted. If you have any feedback for us, please write us an issue. If you would like to help us improve this course, please do fork this repo and submit a pull request.