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


Información del evento

Tipo de evento

Curso / Formación

Hora

3:00 pm - 7:00 pm

Fecha

08 - 12 Abr 2024

Coste

346,00 €
Transmitting Science

Organizador

Transmitting Science
Correo electrónico
communication@transmittingscience.com
Web
http://www.transmittingscience.com

Tipo de evento

Curso / Formación

Hora

3:00 pm - 7:00 pm

Fecha

08 - 12 Abr 2024

Coste

346,00 €

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