Introduction to Bayesian Inference using PyStan

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Jumping Rivers
Start - End
29 May - 22 Jul
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Contact Name
Esther Gillespie
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Despite the promise of big data, inferences are often limited by its systematic structure. Only by carefully modelling this structure can we take full advantage of the data. Stan is a platform for facilitating this modelling, providing an expressive modelling language to implement state-of-the-art algorithms, to draw subsequent Bayesian inferences.

The course will teach participants how to interface with Stan through Python! It consists of four half day sessions, from 1:30pm - 5:00pm (BST), on the 22ND, 23RD, 28TH AND 29TH of July

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