16th Summer School in Statistics for Astronomers

For the 16th year, Penn State’s Center for Astrostatistics is offering its week-long virtual Summer School in statistical methodology for astronomy.

The School provides an intensive program in statistical inference covering topics like principles of probability and inference, regression and model selection, bootstrap resampling, multivariate clustering and classification, Bayesian analysis, MCMC, time series analysis, spatial statistics, deep learning neural networks, and machine learning with random forest. Extensive training in the public domain R statistical software environment with Jupyter notebooks is provided.