Astrostatistics

4 credits

This course reviews the fundamentals of large dataset analysis and machine learning methods relevant to modern astronomical survey datasets. Topics include statistical distributions, classical and Bayesian inference, Monte Carlo methods, data clustering and classification, principal component analysis, model fitting, decision trees, and time series analysis. Renumbered from PHYA 232. Students may not receive credit for both ASTR 223 and PHYA 232.