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README.md

ASTR 598, Winter 2018, University of Washington:

Astro-statistics and Machine Learning

Andy Connolly and Željko Ivezić

Lectures/notebooks

Lecture 1: Introduction to class
Lecture 2: Introduction to Probability & Statistics. I
Lecture 3: Introduction to Probability & Statistics. II
Lecture 4: Maximum Likelihood and Applications in Astronomy. I
Lecture 5: Maximum Likelihood and Applications in Astronomy. II
Lecture 6: Introduction to Bayesian Inference
Lecture 7: Bayesian Inference with MCMC
Lecture 8: Model Parameter Estimation and Model Selection in Bayesian Framework. I
Lecture 9: Model Parameter Estimation and Model Selection in Bayesian Framework. II
Lecture 10: Regression
Lecture 11: Time series analysis