Structure Learning on magic-niab n=100
62.05SHDOrder MCMC
Evaluation Results
| Method | Links | |
|---|---|---|
| Order MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 62.05 | |
| PARNI-DAGsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 64.14 | |
| ADRsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 64.25 | |
| DiBS+sample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 64.7 | |
| Iterative MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 65 | |
| GESsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 65.5 | |
| DiBSsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 65.8 | |
| Partition MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 66.2 | |
| PCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 66.95 | |
| DECIsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 66.95 | |
| LINGAMsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 71.6 |