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Seminar 8 November @ 8:00 (UTC)

 

 

Exploring the Limits of the Bayesian Universe: How to Tackle Breadth and Depth.

Date: Tuesday, 8 November 2022

Time: 8:00 (UTC)

Speaker:  A/Prof. Aaron Robotham (University of Western Australia)  

Contact the organizer: Andriy Olenko a.olenko@latrobe.edu.au

Abstract:

In the last 10 years it is notable that students are much more enthused about projects involving “machine learning”, but it is important we do not lose perspective on the scientific insights still offered by a comprehensive and pragmatic application of Bayesian principles. Here I will discuss the work my group has undertaken over the last 7 years to build up a fully generative model of galaxies that has culminated in the Bayesian modelling software ProFuse (Robotham+ 2022). The positive is that encoding our knowledge and ignorance in a Bayesian manner has opened up new insights to physical processes that form galaxies, the negative is that this approach has a high barrier of entry which can be a poor fit to a modern ~3 year PhD.

See zoom meeting details below.
This seminar is a part of an international online seminars series on Statistics and Data Science applications in Astronomy:
This seminar is an initiative of the International Astrostatistics Association and the IAU Astroinformatics and Astrostatistics Commission. The seminar alternate between Europe-US and Australasia-Europe on a monthly basis.
 
The seminar boardStefano Andreon - INAF-OA Brera, Italy    (chair)Fabio Castagna - INAF-OA Brera, University of Insubria, ItalyAndriy Olenko - La Trobe University, AustraliaTsutomu T. Takeuchi - Nagoya University, Japan
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Join Zoom Meeting 
https://us02web.zoom.us/j/85797505178?pwd=MFk1MzZnb0NqNW1CeUQrK2RFQVo1Zz09

Meeting ID: 857 9750 5178
Passcode: 887796