| Lehrinhalte |
(*)Basic concepts in experimental design (randomization, blocking, replication), optimal design of experiments, design algorithms
Bayesian inference, choice of prior distributions, numerical methods for Bayesian inference
Methods for nonlinear optimization, numerical integration,
Jackknife and Bootstrap
|
