Day 1 (9h-12:30h and 14h-17h):
- Introduction to NIMBLE
- Writing models in NIMBLE
- Comparing and customizing MCMC methods
-Coffee Break
- Strategies for improving MCMC
- Writing your own functions and distributions for NIMBLE models
-Coffee Break
Day 2 (9h-12:30h and 14h-17h):
- Introduction to programming algorithms (using nimbleFunctions) in NIMBLE
- Model selection and Bayesian nonparametrics
-Coffee Break
-Advanced algorithm programming (writing your own MCMC sampler, calling out to R and C++, and more)
- Spatial modeling (first half)
-Coffee Break
Day 3 (half day) (9h-12:30h):
- Spatial modeling(second half)
-State space models
- Special topics based on participant interests and discussion of participants' research projects
-Sequential Monte Carlo (time permitting)
-Coffee Break
- Introduction to NIMBLE
- Writing models in NIMBLE
- Comparing and customizing MCMC methods
-Coffee Break
- Strategies for improving MCMC
- Writing your own functions and distributions for NIMBLE models
-Coffee Break
Day 2 (9h-12:30h and 14h-17h):
- Introduction to programming algorithms (using nimbleFunctions) in NIMBLE
- Model selection and Bayesian nonparametrics
-Coffee Break
-Advanced algorithm programming (writing your own MCMC sampler, calling out to R and C++, and more)
- Spatial modeling (first half)
-Coffee Break
Day 3 (half day) (9h-12:30h):
- Spatial modeling(second half)
-State space models
- Special topics based on participant interests and discussion of participants' research projects
-Sequential Monte Carlo (time permitting)
-Coffee Break
