Astrostatistics

3 credits · Graduate School

Statistical and computational techniques for data-mining and inference in an astronomical context. Probability theory, comparison of frequentist and Bayesian inference. Strategies for data exploration and visualization. Approaches to regression, parameter estimation, and model selection (e.g. Markov chain Monte Carlo). Overview of time-series analysis and deep-learning techniques. [3]