Dear colleagues, Transmitting Science is offering the course "Introduction to Bayesian Inference in Practice" (10th edition). Instructors: Dr. Daniele Silvestro (ETH Z�rich, Switzerland) and Dr. Tobias Andermann (University of Uppsala, Sweden) Course webpage: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-bayesian-inference-practice/ Bayesian methods have become standard practice in the fields of phylogenetic inference, evolutionary (paleo)biology and genomics. On this course, we will outline the relevant concepts and basic theory of Bayesian methods and learn how to perform Bayesian inference in practice. We will demonstrate 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. We will also touch upon hypothesis testing using Bayes factors and Bayesian variable selection. 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. The aim is that, by the end of the course, each participant will have written their own MCMC - from scratch! For any questions, please contact us at courses@transmittingscience.com Haris Haris Saslis, PhD Course Coordinator Transmitting Science www.transmittingscience.com [1] Links: [1] http://www.transmittingscience.com Haris Saslis - Transmitting Science (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)