Research map / Probabilistic and scientific modeling / Causal discovery
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use recursive L-MARVEL instead of RFCI | Causal MAG learning with latent and selection variables · Insurance, Alarm, Ecoli70, Barley, Hailfinder, Carpo, Arth150 | F1-score: Insurance: 0.76 -> 0.85; Alarm: 0.89 -> 0.92; Ecoli70: 0.85 -> 0.88; Barley: 0.73 -> 0.82; Hailfinder: 0.88 -> 0.92; Car | Helped |
| Use recursive L-MARVEL instead of RFCI | Causal MAG learning with latent and selection variables · Insurance, Alarm, Ecoli70, Barley, Hailfinder, Carpo, Arth150 | #CI tests: Insurance: 947 -> 272; Alarm: 981 -> 235; Ecoli70: 4314 -> 227; Barley: 2158 -> 894; Hailfinder: 256754 -> 333; Carpo: 1 | Helped |
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