On the 28th and 29th of January 2021, the Data Analysis Working Group at IRyA hosted a series of Zoom webinars on selected topics in astrostatistics presented by Dr. Peter Scicluna (ESO-Chile), Dr. Benjamin Johnson (Harvard-CfA), and Jairo Andrés Alzate Trujillo (IRyA-UNAM).



The series consisted of three sessions, each containing one lecture of approximately 90 minutes and discussion/Q&A followed by a demo session. Links to the lecture slides (pdf) and videos (mp4) as well as the demonstration scripts (ipynb) are available below.

Lecture schedule











About the speakers

Dr. Peter Scicluna is an ESO Fellow in Santiago. His research focuses on understanding interstellar and circumstellar dust using a combination of observations and modelling. He makes extensive use of Monte Carlo methods and Bayesian inference in his work. He is the PI of the Nearby Evolved Stars Survey.
Publications

Dr. Benjamin Johnson is a Research Associate at the Harvard-Smithsonian Center for Astrophysics. He works on inferring star/galaxy properties from their spectral energy distributions, and on statistical techniques to compare models to astronomical data. As a result, he is an expert in hierarchical Bayesian modelling.
Website and Publications

Jairo Andrés Alzate Trujillo is a doctoral candidate at IRyA. He is working with Dr. Gustavo Bruzual on his thesis, which applies hierarchical Bayesian modelling techniques to infer star-formation histories.
CV