7 May 2019
Palaestra, Lund University, Sweden
Europe/Stockholm timezone

You are welcome to participate in the sixth edition of Bayes@Lund!

The purpose of this conference is to bring together researchers and professionals working with or interested in Bayesian methods. Bayes@Lund aims at being accessible to researchers with little experience of Bayesian methods while still being relevant to experienced practitioners. The focus is on how Bayesian methods are used in research and in the industry, what advantages Bayesian methods have over classical alternatives, and how the use and teaching of Bayesian methods can be encouraged. (see last year's conference for what to expect).

The conference will take place at Lund University, Sweden on the 7th of May 2019 starting at 9.00 and ending at 17.00. It will include contributed talks and invited presentations. Please register for the conference here.

The Program

The program is now finalized! For a list of all the speakers, and abstracts for all talks, do check out the book of abstracts:

                       

Invited Speaker: Maggie Lieu

Maggie is an astrophysics research fellow working at the European Space Agency in Madrid. Her main research involves modelling the mass distribution of clusters of galaxies to understand the nature of dark matter and dark energy in our Universe. Maggie's talk is Hierarchical models and their applications in astronomy; how hierarchical models can be a powerful tool for inference.

 

Invited Speaker: Robert Grant

Robert Grant is a medical statistician, turned freelance trainer, coach and writer in Bayesian models and data visualisation. His book Data Visualisation: charts maps and interactive graphics is published by CRC Press. His talk Visualisation for refining and communicating Bayesian analyses will review relevant general principles of effective visualisation, recent work on Bayesian workflow, and the role of interactive graphics.

Pre-conference Bayesian tutorial

Are you interested in Bayesian statistics and want to get up to speed? Then join the pre-conference Bayesian tutorial. This 3h tutorial will be given by Rasmus Bååth and will go through the fundamentals of Bayesian statistics using R. It will be based on the online course of the same name and requires no prior knowledge of Bayesian statistics but basic knowledge of the R programming language.

The tutorial is free of charge and takes place on the 6th of May 14.00 - 17.00 at Lund University, Sweden. Please register here.

Starts
Ends
Europe/Stockholm
Palaestra, Lund University, Sweden
Paradisgatan 4, 223 50 Lund, Sweden

Organising committee:

Rasmus Bååth, Alex Holmes, Jakob Lavröd, and Ullrika Sahlin

Registration
Registration for this event is currently open.
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