Curso online en directo de modelos mixtos aditivos (GAMM)

Transmitting Science ofrece un nuevo curso online en directo: “Generalised Additive Mixed Models (GAMM): modelling space-time correlation structures”.
Idioma del curso: inglés.
Fechas: 8, 10 y 12 de abril de 15:00 a 19:00 (zona horaria de Madrid).
Programa (en inglés, que es el idioma en el que se impartirá el curso):
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
Module II. Mixed Models and GAMMs
- 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
Más información e inscripciones: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/generalised-additive-mixed-models-modelling-space-time-correlation-structures/ o escribiendo a courses@transmittingscience.com
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Transmitting Science
Correo electrónico
communication@transmittingscience.comWeb
http://www.transmittingscience.comTipo de evento
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Fecha
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Transmitting Science ofrece un nuevo curso online en directo: “Generalised Additive Mixed Models (GAMM): modelling space-time correlation structures”.
Idioma del curso: inglés.
Fechas: 8, 10 y 12 de abril de 15:00 a 19:00 (zona horaria de Madrid).
Programa (en inglés, que es el idioma en el que se impartirá el curso):
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
Module II. Mixed Models and GAMMs
- 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
Más información e inscripciones: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/generalised-additive-mixed-models-modelling-space-time-correlation-structures/ o escribiendo a courses@transmittingscience.com
