The next international online IAU-IAA Astrostats and Astroinfo seminar will take place via Zoom tomorrow, Tuesday 8 February, at 16:00 UTC. Please note: this is 3am AEDT, Wednesday 9 February.
Recordings are available for those who subscribe (free of charge) to the seminar list via https://sites.google.com/view/iau-iaa-seminar/home.
An email with a link to video recordings is sent to the subscribers 1-2 days after the seminar.
Dan Foreman-Mackey (Flatiron Institute, USA) will talk about methods for scalable probabilistic inference
Abstract: Most data analysis pipelines in astrophysics now have some steps that require detailed probabilistic modeling. As datasets get larger and our research questions get more ambitious, we are often pushing the limits of what our statistical frameworks are capable of
In this talk, I will discuss recent (and not so recent) developments in the field probabilistic programming that enable rigorous Bayesian inference with large datasets, and high-dimensional or computationally expensive models.
In particular, I will highlight some scalable methods for time series analysis using Gaussian Processes, and some of the open source tools and computational techniques that have the potential to be broadly useful for accelerating inference in astrophysics.
Join Zoom meeting: https://us02web.zoom.us/j/84533591636?pwd=WUhQUXBxa3drZmtqSU53bUFnNkM2UT09
Meeting ID: 845 3359 1636
Passcode: 231855
Looking forward to seeing you at the seminar.
The seminar board:
Stefano Andreon – INAF-OA Brera, Italy (chair)
Fabio Castagna – INAF-OA Brera, University of Insubria, Ital
Andriy Olenko – La Trobe University, Australia
Tsutomu T. Takeuchi – Nagoya University, Japan
