Lectures and seminars Learn Bayes Methods Week 12–15 May

Name: Learn Bayes Methods Week 12–15 May
Start: 2025-05-12T13:00:00+0200
End: 2025-05-15T20:30:00+0200
Location: Campus Solna

12-05-2025 1:00 pm to
15-05-2025 8:30 pm Add to iCal

Campus Solna Different lecture halls - see the schedule.

Monday through Thursday is packed with fantastic seminars and workshops in this all-you-can-eat Bayesian buffet (or smörgåsbord), topped off with a Networking event, promising exciting keynote speakers and a panel discussion. Feel free to mix and match among the events as you see fit and your schedule allows.

Good to know: You do not have to have attended any previous events in the seminar series and no sign up is needed.

Coffee and lunch: Coffee will be served in the morning and afternoon. Lunch is not provided.

Detailed information on learnbayes.se

You find the full schedule and detailed information about each event on the Learn Bayes hub, where you also can download the separate events to your calendar. Read about the speakers and reasons why you should attend the specific seminar or workshop.

Overview and shortcuts:

Introduction to BayesFlow - Stefan Radev (workshop)
12 May / 13:00–16:00 / Scheelesalen, Scheele-lab Floor 3, Tomtebodavägen 6.
Hidden Markov Models in Stan - Vianey Leos Barajas (workshop)
13 May / 09:00–12:00 / Wretlindsalen, Tomtebodavägen 18A.
Pragmatic Bayes - Matrin Modrák (seminar)
13 May / 13:00–14:30 / Atrium, Nobels väg 12B.
Bayes in Julia / Turing.jl - Xianda Sun (seminar)
13 May / 14:30–16:00 / Atrium, Nobels väg 12B.
Generative Modeling - Michael Betancourt (workshop)
14 May / 09:00–16:00 / Wretlindsalen, Tomtebodavägen 18A.
Machine Learning and Bayes - Matrin Trapp (seminar)
15 May / 10:00–11:30 / Rockefeller, Nobels väg 11.
Introduction to posteriordb - Måns Magnusson (seminar)
15 May / 11:30–12:00 / Rockefeller, Nobels väg 11.

Networking event 15 May

Welcome to the fifth biostatistics network meeting. The goal of this meeting is to encourage biostatisticians and others working in related fields to meet and discuss topics of mutual interest, with this years theme focusing on: Applying Bayesian Statistics in Medical Research.

The event is free and open to everyone working in, or interested in, biostatistics, bioinformatics, data science, epidemiology, and related fields. We welcome colleagues from all branches (academia/industry/government) and geographic locations.