Supplementary material for Dynamic Causal Bayesian Optimisation

5 Additional experimental details and results 11 5.1 Stationary DAG and SCM (STAT.) . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.2 Noisy manipulative variables (NOISY) . . . . . . . . . . . . . . . . . . . . . . . . 11 5.3 Missing observational data (MISS.) . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.4 Multivariate intervention sets (MULTIV.) . . . . . . . . . . . . . . . . . . . . . . . 12 5.5 Independent manipulative variables (IND.) . . . . . . . . . . . . . . . . . . . . . . 12 5.6 Non-stationary DAG and SCM (NONSTAT.) . . . . . . . . . . . . . . . . . . . . . . 13 5.7 Real-World Economic data (ECON.) . . . . . . . . . . . . . . . . . . . . . . . . . 13 5.8 Results without convergence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 5.9 Results over multiple datasets and replicates . . . . . . . . . . . . . . . . . . . . . 14