Transmitting Science is offering a new course: “Introduction to Bayesian
Inference in Practice”, June 11th-15th, 2018, Barcelona (Spain).
Dr. Daniele Silvestro (University of Gothenburg, Sweden) and Tobias Hofmann
(University of Gothenburg, Sweden)
Bayesian methods have become standard practice in several fields, (e.g.
phylogenetic inference, evolutionary (paleo)biology, genomics), yet
understanding how this Bayesian machinery works is not always trivial.
The instructor will outline the relevant concepts and basic theory, but the
focus of the course will be to learn how to do Bayesian inference in practice.
He will show how to implement the most common algorithms to estimate parameters
based on posterior probabilities, such as Markov Chain Monte Carlo samplers,
and how to build hierarchical models.
The course will take a learn-by-doing approach, in which participants will
implement their own MCMCs using R or Python (templates for both languages will
After completion of the course the participants will have gained a better
understanding of how the main Bayesian methods implemented in many programs
used in biological research work. Participants will also learn how to model at
least basic problems using Bayesian statistics and how to implement the
necessary algorithms to solve them.
Participants are encouraged to think of potential applications of Bayesian
inference in their research, which we will discuss and try to implement during
For more information please check the course webpage:
With best regards
Soledad De Esteban-Trivigno,PhD.