Astronomy 598 Topics in Theoretical Astrophysics (Bayesian Statistics for Computational Science)


Spring 2017: Fri 11:00-12:20 Physics/Astronomy Building A210

Instructor: Pramod Gupta
psgupta *at* astro. washington. edu

Office hours: after class, or email.

Web-site: http://vpl.astro.washington.edu/users/psgupta/astro598bayesian.html

Pre-requisites:
Students should know a programming language. Students should bring their laptop to class. If you have a windows laptop please install ssh client software on your laptop so that you can connect to hyak. Students should have a hyak account and should bring the e-token to class. Any UW student can get a hyak account. Instructions are at below link:
http://students.washington.edu/hpcc/getting-started-on-hyak/

Syllabus:

(1) Likelihood

(2) Maximum Likelihood Estimation

(3) Bayes' Theorem

(4) Prior Probability Distributions

(5) Principle of Maximum Entropy

(6) Markov Chain Monte Carlo

Grades:

Homework problems (100% of grade) will be assigned every week.


References:

Data Analysis: A Bayesian Tutorial
Second edition
Sivia