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Summer School in Statistics for Astronomers XVI – June 1-5, 2021

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.

Lectures and tutorials are presented by experienced educators in statistics and astrostatistics. Participants exercise the methods with astronomical datasets illustrating realistic challenges faced in contemporary research. For participants’ interest, the School is followed by the 7th cross-disciplinary research conference, Statistical Challenges in Modern Astronomy (https://astronomy.outreach.psu.edu/).

Registration Information

Registration Deadline: May 10, 2021
Registration Fee: $120

Shortly after the registration is submitted, a receipt will be sent to the email address given on the registration form. Invoices are available upon request.

Registration

Course Information

Each day the program is expected to start at 10:30am EDT and end at 4pm EDT.

Presentations will be recorded, and will be accessible to participants.

Refunds and Cancellations:
Refunds will be issued for cancellation by the registrant if we receive your notification in writing by May 10, 2021.

A $50 administrative fee will be charged for all cancellations. Refund requests made after that time will not be honored.

The University may cancel or postpone any course or activity because of insufficient enrollment or other unforeseen circumstances. If a program is canceled or postponed, the University will refund the full registration fees but cannot be held responsible for any other related costs, charges, or expenses.