fyi
From: Tak, Hyungsuk <
hvt...@psu.edu>
Sent: Monday, March 23, 2026 3:24 PM
To: Tak, Hyungsuk <
t...@psu.edu>
Subject: The 21st Penn State Astrostatistics Summer School Announcement
Dear Participants of Past Penn State Summer Schools in the U.S. and worldwide,
In early June, Penn State will offer its 21st Summer School in Statistics for Astronomers in an enhanced virtual format, with no travel required. We would appreciate it if you could share this information with your colleagues and friends in your organizations.
Thank you very much,
Eric Feigelson & Hyungsuk Tak
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First announcement
Virtual Summer School in Statistics for Astronomers
June 1-5 2026
Penn State's
Center
for Astrostatistics and Astroinformatics is pleased to offer its 21st annual
Summer School in Statistics for Astronomers Monday through Friday, June 1-5 2026. Taught by experienced faculty in statistics and astrostatistics, it provides a foundation in statistical inference, methods, and software within the context of problems
arising in astronomical research. Topics include: principles of probability and inference, regression and model selection, bootstrap resampling, supervised and unsupervised learning, Bayesian data analysis, Markov chain Monte Carlo (MCMC), nested sampling,
time series analysis, spatial statistics, machine learning methods, Gaussian processes regression, and machine learning methods such as deep learning neural networks and Random Forests. Extensive training in the public domain R statistical software environment
is provided. Typical attendees are graduate students and young researchers, undergraduates and senior researchers are welcome.
Stimulated by the enthusiastic world-wide participation in our Summer Schools conducted online during the Covid-19 pandemic, we will provide the 2026 school in an
enhanced online format. The lectures will be pre-recorded and can be viewed by participants any hour of the day. They will be supplemented by synchronous Zoom events and Slack channels where participants can communicate with instructors and teaching
assistants. Participants will also learn the R statistical software language through applications to astronomical problems via recorded tutorials and by independent work using Jupyter notebooks. Teaching assistants will be available to assist. Attendees,
spread across multiple time zones, are strongly encouraged to complete the tutorials before the next day’s live session begins. Asynchronous Slack channels will also be available to discuss the lectures, consult with astrostatisticians on individual participant’s
research, and informally interact with other participants. Altogether, participants should expect to spend several hours per day – in their own time zones – listening and working on the Summer School curriculum during the June 1-5 week.
Registration is now open with a fee of $120.
We look forward to an exciting 2026 Summer School with an innovative format.
Registration and further information at
Registration deadline: May 8 2026