Astronomy and AstrophysicsASTR 234 Statistical Techniques in Astronomy

Introduces probability and statistics in data analysis with emphasis on astronomical applications. Topics include probability, Bayes' theorem, statistics, error analysis, correlation, hypothesis testing, parameter estimation, surveys, time-series analysis, surface distributions, and image processing. Students learn to identify the appropriate statistical technique to apply to an astronomical problem and develop a portfolio of analytic and computational techniques that they can apply to their own research.

Requirements

Enrollment is restricted to graduate students.

Credits

5

Quarter offered

Fall

Instructor

Andrew Skemer, Xavier Prochaska