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Joint Quantile Regression on Scenario 1 Model A (n=5000)
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0.0471
MSE (τ=0.05)
ConquerNet
0.047004
0.047652
0.0483
0.048948
May 7, 2026
MSE (τ=0.05)
MSE (τ=0.25)
MSE (τ=0.5)
MSE (τ=0.75)
MSE (τ=0.95)
Updated 26d ago
Evaluation Results
Method
Method
Links
MSE (τ=0.05)
MSE (τ=0.25)
MSE (τ=0.5)
MSE (τ=0.75)
MSE (τ=0.95)
ConquerNet
Kernel=Uniform
2026.05
0.0471
0.0111
0.0067
0.0113
0.0355
ConquerNet
Kernel=Gaussian
2026.05
0.0477
0.0111
0.007
0.012
0.0361
Baseline
2026.05
0.0494
0.0147
0.01
0.0146
0.0397
ConquerNet
Kernel=Epanechnikov
2026.05
0.0495
0.0123
0.0079
0.0128
0.0372
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