| MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | ||
|---|---|---|---|---|---|---|
| 10:00 | Course 2 | Course 3 | Course 4 | 10:00 | STAN Tutorial | |
| 10:15 | OPENING | |||||
| 10:30 | Course 1 | |||||
| Coffee break | Coffee break | Coffee break | 11:00 | |||
| 11:30 | Coffee break | Course 2 | Course 3 | Course 4 | 11:30 | |
| 11:45 | Course 1 | |||||
| Talk 3 | Talk 5 | Talk 7 | 12:30 | |||
| 12:45 | Lunch | |||||
| Lunch | Lunch | Lunch | 13:00 | |||
| 14:45 | Talk 1 | |||||
| Talk 4 | Talk 6 | Course 4 | 15:00 | |||
| 15:15 15:30 | Course 2 | |||||
| Course 1 | Course 3 | |||||
| Coffee break | 16:00 | |||||
| 16:15 | Coffee break | |||||
| 16:30 | Course 2 | Coffee break | Coffee break | Course 4 | 16:30 | |
| Course 1 | Course 3 | |||||
| 17:30 | Talk 2 | CLOSING | 17:30 | |||
| SCHOOL BANQUET 20:30 |
Course 1: Variational Assimilation and Uncertainty Quantification
Course 2: Probabilistic and ensemble approaches to Data Assimilation
Course 3: Algorithms for UQ for differential equations
Course 4: Scalable Bayesian Inference with Hamiltonian Monte Carlo and Stan
Short talk 1: Bayesian inverse modeling for quantitative precipitation estimation
Short talk 2: Integration methods for piecewise smooth functions
Short talk 3: Adaptive Multi-Level Monte-Carlo method for stochastic variational inequalities
Short talk 4: Multilevel Monte Carlo for a stochastic optimal control problem
Short talk 5: Uncertainty quantification for kinetic models of collective behavior
Short talk 6: Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction
Short talk 7: Hamiltonian Monte Carlo for high dimensional problems
