Participating at the Summer School in Statistics for Astronomers XVII

For the 17th year, Penn State’s Center for Astrostatistics offered its week-long Summer School in statistical methodology for astronomy. The School provides an intensive program in statistical inference covering topics such as principles of probability and inference, regression and model selection, bootstrap resampling, multivariate clustering and classification, Bayesian data analysis, Markov chain Monte Carlo (MCMC), time series analysis, spatial statistics, deep learning neural networks, and machine learning with random forest.

Since this was offered as a virtual school it was possible for the younger ASSESS PhD students Konstantinos Antoniadis, Gonzalo Munoz Sanchez, and Evangelia Christodoulou, to participate and gain important knowledge.

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