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Dear colleagues,
Transmitting Science has opened registration for the course "Generalised Additive Mixed Models (GAMM): modelling space-time correlation structures".
Dates and schedule: July 21st, 23rd, and 25th, 2025. From 09:30 to 13:30 (Madrid time zone).
Course webpage: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/generalised-additive-mixed-models-modelling-space-time-correlation-structures/
Programme:
Module I. Spatial and Temporal Autocorrelation- Definition of spatial and temporal autocorrelation
- Tools for detection of spatial and temporal autocorrelation
- GAM Models
- Theory of Additive Models (AM) and Generalized Additive Models (GAM)
- Simple GAM Model
- Fitting and Validation of a simple GAM model (bivariate)
- Multiple GAM Models (multivariable)
- Fitting and Validation of a multiple GAM model
- Multiple GAM for count data with an offset
- Introduction to Mixed Effects Models
- Fitting GAM Model and Independence Validation
- Fitting and validation of GAMM 1 Model
- GAMM with temporal autocorrelation structure
- Fitting and validation of GAMM 2 Model
- GAMM with space-temporal structure
- Resolution of specific work doubts
With best regards
Sole
Soledad De Esteban-Trivigno, PhD
Director
Transmitting Science
http://www.transmittingscience.com/courses
Bluesky @soledeesteban.bsky.social
X @SoleDeEsteban
Orcid: https://orcid.org/0000-0002-2049-0890
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Discussion forums: Education: Online course: Generalised Additive Mixed Models (GAMM) using R: modelling space-time correlation structures, July 2025
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