Dear colleagues,

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)

Course overview

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 
be provided).

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 
the course.

For more information please check the course webpage:

With best regards


Soledad De Esteban-Trivigno,PhD.
Scientific Director
Transmitting Science

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