Courses and Events
INTRODUCTION TO BAYESIAN INFERENCE USING RSTAN
10/04/2017 - 11/04/2017
University of London, Senate House, University of London, Malet St, London WC1E 7HU
View in Goolge Maps (WC1E 7HU)
LONDON at London University Senate House
This is an intensive, two day course introducing the use of RStan for Bayesian computation. The course will be a mixture of lectures and computer practicals. The main focus will be on the specification of models using the Stan language and on the practicalities of generating samples from the posterior distribution and diagnosing convergence.
Partipants should be familiar with basic Probability and Statistics including common distributions and regression. Basic R programming, is also required, i.e. writing loops and functions. We do not expect you to have experience with Bayesian Inference or Stan, but some knowledge of the former will be helpful.
This course will consist of short lectures, followed by short practical sessions.
Dr Sarah Heap, Statistics Lecturer in the School of Mathematics &Statistics. Expert in Big Data, Bayesian Statistics and Time Series analysis.
Dr Sarah Heap & Dr Jamie Owen
Jumping Rivers ltd
Intermediate (some prior knowledge)
£850 + Vat (25% discount to academics & charity)
Website and registration
Esther Gillespie, firstname.lastname@example.org, 07740285328
Related publications and presentations