Bayes Centre

[31/08/23] University of Edinburgh Event - Intro to modern Generalised Additive Models in R

About the event

Generalized Additive Models (GAMs) are an extension of traditional regression models, and have proved to be highly useful for both predictive and inferential purposes in a variety of scientific and commercial applications. One reason behind the popularity of GAMs is that they strike a balance between flexibility and interpretability, while being able to handle large data sets. The taught part of the course will provide an overview of GAM theory, methods and software, while the hands-on sessions will make sure that the attendees will be ready to start doing GAM modelling in R as soon as the course is over.

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Please note that we will contact you separately for payment to confirm your place. 

Fees:

University of Edinburgh stuent/staff*: £60.00* 

Higher Education*: £260

Industry*: £500

*Note the fee includes membership to the British and Irish Region of the International Biometric Society.  Current members will receive a £60 discount -- please state your BIR membership status when you book.  Students may join for free!

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[31/08/23] University of Edinburgh Event - Intro to modern Generalised Additive Models in R

Prof Simon Wood will lead an introductory two-day course on statistical modelling using GAMs in R.

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