Dear colleagues,

Registration is open for the course Introduction to Bayesian Inference 
in Practice - 8th edition. This course will be held live online 
(synchronous). Max 18 participants.

Dates: March 4th-8th, 2024. Online live sessions from Monday to Friday; 
13:00 to 17:00 (Madrid time zone).

Course Overview:

Bayesian analyses have been implemented more and more often in the study 
of evolution, therefore understanding the basis of this approach is key 
to understanding current methods of phylogenetic analyses.

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 instructors 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 are 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 their 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 courses@transmittingscience.com

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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Soledad De Esteban-Trivigno <soledad.esteban@transmittingscience.com>

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