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Introduction to Bayesian hierarchical modelling using R (IBHM03)

8 July 2019 - 12 July 2019

Course Overview:

This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R software interface. The course covers the full gamut from simple regression models through to full generalised multivariate hierarchical structures. A Bayesian approach is taken throughout, meaning that participants can include all available information in their models and estimates all unknown quantities with uncertainty. Participants are encouraged to bring their own data sets for discussion with the course tutors.

To find out more or to book online via our sister company (PS statistics) use the link below…

Introduction to Bayesian hierarchical modelling using R (IBHM03)

Details

Start:
8 July 2019
End:
12 July 2019

Venue

PS statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
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