We have a few remaining seats available on the following hybrid course (you can attended in person or simultaneously via Zoom):?Zero-inflated GAMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. When:? 23 - 27 September 2024 Where: Hotel de Nieuwe Wereld.? Wageningen. The Netherlands. Teaching times: 09.00-16.00 CET Course flyer: https://www.highstat.com/Courses/Flyers/Flyer2024_09_ZIGAMSpatTemp.pdf Registration: www.highstat.com * * *Outline:* We start with an introduction to Bayesian statistics and show how to execute Poisson and negative binomial GLMs in R-INLA. We then discuss zero-inflated GLMs for count data and continuous data, and show how to execute such models in R-INLA. In the second part of the course, we discuss generalised additive models (GAM) and show how to execute these models in R-INLA. In the third part we extend the zero-inflated GAMs with spatial, and spatial-temporal dependency. Kind regards, Alain Zuur www.highstat.com
Hybrid course: Zero-inflated GAMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. Wageningen, The Netherlands. 23 - 27 September 2024
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