General information
The objective of the course is to guide participants in developing stock assessment models, explaining the key differences between deterministic processes, stochastic models, Bayesian models, and state-space models.
Model development is demonstrated in two related programming environments:
AD Model Builder (ADMB) and Template Model Builder (TMB). Both environments are designed to meet the requirements posed by typical stock assessment models that are nonlinear, highly parameterized, and may have time-varying parameters.
After going through biomass-dynamic models, parametric age-structured models and MCMC analysis, the focus will be on random effects and finally a State-space Assessment Model (SAM), which is used for several assessments within ICES. This is a full stochastic model that allows selectivity to vary gradually with time, using fewer model parameters than full parametric models.
By the end of the course, the participants will be able to:
- Build stock assessment models in ADMB/TMB
- Modify existing ADMB/TMB models.
Content
The highlighted icons, represent the fields of education (in compliance with ISCED Classification) engaged during this course/programme.
Venue
Copenhagen, Denmark
ICES Secretariat
H. C. Andersens Boulevard 44-46
DK 1553 Copenhagen V, Denmark
Tel: +45 3338 6700 · Fax: +45 3393 4215 · info@ices.dk
Application
Click here to apply: http://admin.ices.dk/training/
Cost:
<p>750 Euros for ICES member country affiliated participants.</p> <p>1.250 Euros for non-member country affiliated participants.</p>
Prerequisites:
In this advanced course, participants are assumed to have a background in applied statistics and statistical computing. Specifically, some experience fitting nonlinear models to data (in stock assessment or elsewhere) and basic programming skills.
Application Procedure:
Please use the on-line registration form.
Application deadline: 14 September 2015
Qualification
The objective of the course is to guide participants in developing stock assessment models, explaining the key differences between deterministic processes, stochastic models, Bayesian models, and state-space models.
Model development is demonstrated in two related programming environments:
AD Model Builder (ADMB) and Template Model Builder (TMB). Both environments are designed to meet the requirements posed by typical stock assessment models that are nonlinear, highly parameterized, and may have time-varying parameters.
After going through biomass-dynamic models, parametric age-structured models and MCMC analysis, the focus will be on random effects and finally a State-space Assessment Model (SAM), which is used for several assessments within ICES. This is a full stochastic model that allows selectivity to vary gradually with time, using fewer model parameters than full parametric models.
Please use the on-line registration form.
Application deadline: 14 September 2015
By the end of the course, the participants will be able to:
- Build stock assessment models in ADMB/TMB
- Modify existing ADMB/TMB models.
In this advanced course, participants are assumed to have a background in applied statistics and statistical computing. Specifically, some experience fitting nonlinear models to data (in stock assessment or elsewhere) and basic programming skills.
