- Day 1 Tuesday, March 13
Course overview and introduction to ADMB
ADMB approach, syntax, files, and output
Simple models and estimating parameters
Developing likelihoods
Debugging
- Day 2 Wednesday, March 14
Fisheries model examples: Nonlinear models, age-structured models
Estimating uncertainty
- Day 3 Thursday, March 15
Estimating uncertainty continued
Simulation
Retrospective analysis
- Day 4 Friday, March 16
Participants bring in their own data and work to build models in ADMB, with the instructor available to help.
Course materials were developed from previous courses taught by Arni Magnusson, Anders Nielsen, Rob Ahrens, Steve Martell, and Andre Punt.