Dear colleagues,
There are only a few slots left for the course "Introduction to Bayesian
Inference in Practice". This course is relevant to people working on
ecology and doing statistical analysis. (18 participants max).
Dates: February 17th-21st, 2025, from 13:00 to 17:00 (Madrid time zone).
Instructors: Dr. Daniele Silvestro [1] (University of Gothenburg,
Sweden) and Tobias Andermann [2] (University of Gothenburg, Sweden)
Course Overview:
This course is based on the assumption that the easiest way to
understand the principles of Bayesian inference and the functioning of
the main algorithms is to implement these methods yourself.
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.
He will also touch upon hypothesis testing using Bayes factors and
Bayesian variable selection.
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 expected to have some knowledge of R or Python (each
can choose their preferred language), but they will be guided
"line-by-line" in writing their script. The aim is that, by the end of
the week, each participant will have written their own MCMC - from
scratch! Participants are encouraged to bring own datasets and questions
and we will (try to) figure them out during the course and implement
scripts to analyze them in a Bayesian framework.
More information and registration at
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-bayesian-inference-practice/
or writing [email protected]
Best regards
Sole
--
Soledad De Esteban-Trivigno, PhD
Director
Transmitting Science
www.transmittingscience.com
Twitter @SoleDeEsteban
Orcid: https://orcid.org/0000-0002-2049-0890
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Links:
------
[1] https://www.transmittingscience.com/instructors/daniele-silvestro/
[2] https://www.transmittingscience.com/instructors/tobias-andermann/
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