Research map / Probabilistic and scientific modeling / Causal discovery
Triad Constraints for Learning Causal Structure of Latent Variables
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use LSTC (Triad constraints) instead of BPC/FOFC for measurement model | Latent variable discovery · Cases 2 and 3 (two pure children per latent) | latent omission: Case 3 n=500: 0.86(6) -> 0.20(0) vs BPC | Helped |
| Use LSTC instead of BPC/FOFC | Latent variable discovery · Case 4 (three pure children, impure vars) | latent commission: Case 4 n=1000: LSTC 0.26(0) vs BPC 0.00(0) | Mixed |
| Increase sample size from 500 to 2000 for LSTC (ablation) | LSTC · Cases 2 and 3 | latent omission: Case 3: 0.20(0) -> 0.00(0) | Helped |
| Increase sample size for LSTC structure learning (ablation) | LSTC · Simulated Cases 1-4 | structure F1 | Helped |
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