Introduction to Bayesian Inference using RStan

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Organisation
Jumping Rivers
Start - End
1 Feb - 5 Feb
Study Options
Remote
Contact Name
Esther Gillespie
Contact Email
info@jumpingrivers.com

Despite the promise of big data, inferences are often limited not by the size of data but rather by its systematic structure. Only by carefully modelling this structure can we take full advantage of the data -- big data must be complemented with big models and the algorithms that can fit them. Stan is a platform for facilitating this modelling, providing an expressive modelling language for specifying bespoke models and implementing state-of-the-art algorithms to draw subsequent Bayesian inferences. The course will teach participants how to interface with Stan through R.


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