Zero-inflated GAMs for the analysis of spatial and spatial-temporal correlated data using R-INLA

Join our course on advanced statistics! You can attend in person or 
online via Zoom.

Zero-inflated GAMs for the analysis of spatial and spatial-temporal 
correlated data using R-INLA


*Course details*

  * When: September 23 - 27, 2024
  * Where: Hotel de Nieuwe Wereld, Wageningen, The Netherlands
  * Time: 9 AM to 4 PM CET

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*What you will learn:
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  * Understanding the basics: Learn the fundamentals of Bayesian
    statistics and how to use R-INLA for standard GLMs.
  * Handling Sparse Data: Discover techniques to manage data sets with a
    high number of zeros in both counts and continuous data, using R-INLA.
  * Incorporating non-linear relationships: Explore how to incorporate
    non-linear covariate effects using generalized additive models
    (GAMs) in R-INLA.
  * Accounting for spatial and temporal Effects: Learn how to integrate
    the influences of space and time into your models.
  * Synthesizing the concepts: Bring all these elements together to
    build comprehensive statistical models.


Course flyer: 
https://www.highstat.com/Courses/Flyers/Flyer2024_09_ZIGAMSpatTemp.pdf

Registration: www.highstat.com


We hope to see you there and help you grow your skills in statistical 
modelling skills!

Kind regards,

Alain Zuur