Structural Function Estimation on Nuisance-Augmented Image-Covariate Demand Design
0.14Structural MSEBGM-IV
Evaluation Results
| Method | Links | |
|---|---|---|
| BGM-IVn (Sample Size)=20000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 0.14 | |
| BGM-IVn (Sample Size)=20000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 0.2 | |
| BGM-IVn (Sample Size)=20000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 0.21 | |
| BGM-IVn (Sample Size)=20000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 0.21 | |
| BGM-IVn (Sample Size)=20000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 0.26 | |
| BGM-IVn (Sample Size)=10000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 0.41 | |
| BGM-IVn (Sample Size)=10000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 0.52 | |
| BGM-IVn (Sample Size)=10000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 0.53 | |
| BGM-IVn (Sample Size)=10000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 0.55 | |
| BGM-IVn (Sample Size)=10000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 0.56 | |
| BGM-IVn (Sample Size)=5000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 0.74 | |
| BGM-IVn (Sample Size)=5000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 0.78 | |
| DeepIVn (Sample Size)=20000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 0.78 | |
| DeepIVn (Sample Size)=20000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 0.78 | |
| DeepIVn (Sample Size)=20000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 0.79 | |
| DeepIVn (Sample Size)=20000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 0.79 | |
| DeepIVn (Sample Size)=20000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 0.81 | |
| BGM-IVn (Sample Size)=5000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 0.84 | |
| BGM-IVn (Sample Size)=5000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 0.85 | |
| BGM-IVn (Sample Size)=5000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 0.87 | |
| DeepIVn (Sample Size)=10000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.19 | |
| DeepIVn (Sample Size)=10000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.2 | |
| DeepIVn (Sample Size)=10000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.21 | |
| DeepIVn (Sample Size)=10000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.22 | |
| DeepIVn (Sample Size)=10000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.23 | |
| DFIVn (Sample Size)=20000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.28 | |
| DFIVn (Sample Size)=20000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.31 | |
| DFIVn (Sample Size)=20000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.34 | |
| DFIVn (Sample Size)=20000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.35 | |
| DFIVn (Sample Size)=20000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.36 | |
| DFIVn (Sample Size)=5000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.46 | |
| DFIVn (Sample Size)=5000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.46 | |
| DFIVn (Sample Size)=10000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.48 | |
| DFIVn (Sample Size)=10000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.51 | |
| DFIVn (Sample Size)=5000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.52 | |
| DFIVn (Sample Size)=10000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.52 | |
| DFIVn (Sample Size)=5000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.53 | |
| DFIVn (Sample Size)=5000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.53 | |
| DFIVn (Sample Size)=10000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.54 | |
| DFIVn (Sample Size)=10000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.55 | |
| DeepIVn (Sample Size)=5000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.59 | |
| DeepIVn (Sample Size)=5000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.59 | |
| DeepIVn (Sample Size)=5000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.61 | |
| DeepIVn (Sample Size)=5000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.67 | |
| DeepIVn (Sample Size)=5000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.74 | |
| KIVn (Sample Size)=20000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.84 | |
| KIVn (Sample Size)=20000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.84 | |
| KIVn (Sample Size)=20000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.84 | |
| KIVn (Sample Size)=20000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.84 | |
| KIVn (Sample Size)=20000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.84 | |
| KIVn (Sample Size)=10000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.87 | |
| KIVn (Sample Size)=10000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.87 | |
| KIVn (Sample Size)=10000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.87 | |
| KIVn (Sample Size)=10000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.87 | |
| KIVn (Sample Size)=10000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.87 | |
| KIVn (Sample Size)=5000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 1.92 | |
| KIVn (Sample Size)=5000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 1.92 | |
| KIVn (Sample Size)=5000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 1.92 | |
| KIVn (Sample Size)=5000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 1.93 | |
| KIVn (Sample Size)=5000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 1.93 | |
| DeepGMMn (Sample Size)=5000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 5.32 | |
| DeepGMMn (Sample Size)=10000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 5.36 | |
| DeepGMMn (Sample Size)=20000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 5.39 | |
| DeepGMMn (Sample Size)=20000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 5.43 | |
| DeepGMMn (Sample Size)=20000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 5.47 | |
| DeepGMMn (Sample Size)=5000, rho (Confounding Level)=0.75, v_dim=10002026.05 | 5.48 | |
| DeepGMMn (Sample Size)=5000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 5.5 | |
| DeepGMMn (Sample Size)=10000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 5.54 | |
| DeepGMMn (Sample Size)=20000, rho (Confounding Level)=0.1, v_dim=10002026.05 | 5.56 | |
| DeepGMMn (Sample Size)=20000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 5.56 | |
| DeepGMMn (Sample Size)=5000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 5.59 | |
| DeepGMMn (Sample Size)=5000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 5.61 | |
| DeepGMMn (Sample Size)=10000, rho (Confounding Level)=0.9, v_dim=10002026.05 | 5.68 | |
| DeepGMMn (Sample Size)=10000, rho (Confounding Level)=0.5, v_dim=10002026.05 | 5.71 | |
| DeepGMMn (Sample Size)=10000, rho (Confounding Level)=0.25, v_dim=10002026.05 | 5.72 |