Bayes Comp 2023 is the third edition of the conference series with previous events in Florida 2020 and Barcelona 2018. It is also a reincarnation of the popular MCMSki events. Bayes Comp is the biennial conference of the Bayesian Computation Section of the International Society for Bayesian Analysis.
Tamara Broderick, Massachusetts Institute of Technology, USA
Anthony Lee, University of Bristol, UK
Veronika Rockova, The University of Chicago Booth School of Business, USA
The call for contributed talks and posters is open. Deadline is 30 September, and submissions should be done via Google form: https://forms.gle/BgqPpHXwsqZPR6ac6
The deadline for invited sessions has been extended, new deadline is 22 August (original deadline 7 August). Submission via Google form: https://forms.gle/NnE6BmBxMR6syLXN9
If you have any questions, please send via email to bayescomp2023@gmail.com
There will be a budget for travel support for students, early-career researchers, and researchers with limited resources. Details will be announced autumn 2022.
Two satellite events shall be organised prior to the Bayes Comp.
1. Bayesian Inference of Epidemics by Alice Corbella and Gareth Roberts.
2. Approximate Generalized Directions in Computing by Antonietta Mira, Christian Robert and Heikki Haario.
In Levi, being impressed by the natural surroundings is inescapable – from river valleys and frozen lakes up to the fells with spectacular views over the Lappish landscape, Levi is all about northern nature at its best. During the winter months, from mid-November to mid-May, Levi is Finland’s most popular ski resort with a total of 44 runs serviced by 28 lifts.
The Kittilä airport is a 15-minute drive away from Levi’s mountain village. An airport shuttle bus runs from the Kittilä airport to Levi after all scheduled flights. Taxis and car rentals are available at the airport.
The closest train station is in Kolari, from where you can get to Levi by bus (80 km). Kolari is served by night trains from Helsinki. Alternatively, you can use Rovaniemi station (170 km from Levi).
Conference hotel is Hotel Levi Panorama:
Conference facilities, for the main event, include one auditorium and three lecture rooms, allowing 4 parallel sessions. In satellites, we have auditorium and one lecture room. We have modern easy to use conference equipment and high-speed communications, thus ensuring that meeting will run smoothly.
Childcare: Bayes Comp aims to be a family-friendly meeting. The target is to organise childcare. Due to limited resources, we encourage everyone planning to attend with kids, to contact Miracle Amadi (miracle.amadi@lut.fi) as soon as possible. We would appreciate to know the number of kids and their age ranges (only limited number of childcare is available). We will follow the first contact first served policy.
The tentative rough outline of the programme is below, the programme is subject to changes.
Sunday 12 March
Monday 13 March:
Tuesday 14 March
Wednesday 15 March
Thursday 16 March
Friday 17 March
Registration deadlines and fees will be announced late August 2022.
Matt Moores, University of Wollongong, Australia (Chair)
Sara Wade, University of Edinburgh, UK (Co-Chair)
Sally Paganin, Harvard University, USA
Alice Corbella, University of Warwick, UK
Dootika Vats, Indian Institute of Technology, India
Gareth Roberts, University of Warwick, UK
Antonietta Mira, Università della Svizzera italiana, Switzerland, and University of Insubria, Italy
Christophe Andrieu, University of Bristol, UK
Matti Vihola, University of Jyväskylä, Finland
Heikki Haario, LUT University, Finland
Lassi Roininen, LUT University (LOC head)
Simo Särkkä, Aalto University
Mari Myllymäki, Natural Resources Institute Finland
Johanna Tamminen, Finnish Meteorological Institute
Aki Vehtari, Aalto University
Jarno Vanhatalo, University of Helsinki
Samuli Siltanen, University of Helsinki
Tapio Helin, LUT University
Bayes Comp follows ISBA code of conduct on ethical professional practice, equal opportunity, and anti-harassment. For any irregularity, please contact bayescomp2023@gmail.com.
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