Structure Learning on magic-irri n=100
91.85SHDPARNI-DAG
Evaluation Results
| Method | Links | |
|---|---|---|
| PARNI-DAGsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 91.85 | |
| Order MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 92.9 | |
| ADRsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 95.2 | |
| Iterative MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 96.15 | |
| GESsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 97.6 | |
| DiBS+sample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 100.45 | |
| DECIsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 102 | |
| DiBSsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 102.35 | |
| Partition MCMCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 103.35 | |
| PCsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 103.75 | |
| LINGAMsample size (n)=100, replications=20, CPU-time=approximately same2023.11 | 111.25 |