As last year, we’ll do a summer school on Bayesian modeling in Bayreuth. See the invitation below, and feel free to circulate widely!!!
Statistical modeling with Bayesian methods has become increasingly popular in ecology, but the techniques required for doing so are not part of the standard curriculum in most Universities. Our aim for this course is to give a simple and practical introduction to Bayesian modeling for students, graduate students, and early-stage researchers in ecology.
Björn Reineking, University of Bayreuth
Florian Hartig, UFZ Leipzig
Jörn Pagel, University of Potsdam
Joseph Chipperfield, University of Trier
Global Change Ecology (M.Sc.) http://www.global-change-ecology.de
Content of the course will include:
• Introduction to Bayesian statistics (Priors, Likelihoods, etc.)
• Introduction to sampling methods (e.g. Markov Chain Monte Carlo)
• Introduction to hierarchical Bayesian models
• Introduction to the Bugs software for Bayesian Models
The course will consist, each day, of lectures in the morning, practical exercises in the afternoon, and a talk on advanced topics in Bayesian statistics in the late afternoon. Course language will be English. ECTS credits can be awarded if necessary from the University of Bayreuth. Knowledge of R, or at least good competency in another programming language, will be advantageous to profit from the exercises. An optional refreshing R tutorial will be offered at the beginning of the course.
Venue and course fees
The course will take place at the University of Bayreuth. There is no course fee; however, accommodation and food must be paid by the course participants. We have reserved a very basic and very reasonably priced option from 16th -22nd of September in an old farmhouse close to the University. The price is approximately 12 Euro per day in 4-bed rooms, no meals included. If you would like to book accommodation there, please indicate so in your application. Of course, you may also organize your own accommodation in a hotel.
How to apply
To apply for the course, please send an email with your contact details, a brief summary of your research interests and motivation for attending this course (max 150 words), and an indication of your experience with R by July 30th to joern.pagel*at*uni-potsdam.de. After this date, we will make the initial selection and subsequent applications will be admitted onto the course on a firstcome first-served basis until all places are filled.