MMD Variance Estimation on 1D Laplace distributions Delta=1, m=1.5n
0MMD Variance EstimateeuMMD (Proposed Var(T2))
Evaluation results
| Method | Links | |
|---|---|---|
| euMMD (Proposed Var(T2))Kernel=Laplacian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Gaussian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Laplacian, Sample size (n)=31622026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Gaussian, Sample size (n)=31622026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Laplacian, Sample size (n)=6312026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Gaussian, Sample size (n)=6312026.01 | 0 | |
| Wei et al.Kernel=Laplacian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed)Kernel=Laplacian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Laplacian, Sample size (n)=1262026.01 | 0 | |
| Wei et al.Kernel=Gaussian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed)Kernel=Gaussian, Sample size (n)=158492026.01 | 0 | |
| euMMD (Proposed Var(T2))Kernel=Gaussian, Sample size (n)=1262026.01 | 0 | |
| Wei et al.Kernel=Laplacian, Sample size (n)=31622026.01 | 0 | |
| euMMD (Proposed)Kernel=Laplacian, Sample size (n)=31622026.01 | 0 | |
| Wei et al.Kernel=Gaussian, Sample size (n)=31622026.01 | 0 | |
| euMMD (Proposed)Kernel=Gaussian, Sample size (n)=31622026.01 | 0 | |
| Wei et al.Kernel=Laplacian, Sample size (n)=6312026.01 | 0.0002 | |
| euMMD (Proposed)Kernel=Laplacian, Sample size (n)=6312026.01 | 0.0002 | |
| Wei et al.Kernel=Gaussian, Sample size (n)=6312026.01 | 0.0003 | |
| euMMD (Proposed)Kernel=Gaussian, Sample size (n)=6312026.01 | 0.0003 | |
| Wei et al.Kernel=Laplacian, Sample size (n)=1262026.01 | 0.001 | |
| euMMD (Proposed)Kernel=Laplacian, Sample size (n)=1262026.01 | 0.001 | |
| Wei et al.Kernel=Gaussian, Sample size (n)=1262026.01 | 0.0019 | |
| euMMD (Proposed)Kernel=Gaussian, Sample size (n)=1262026.01 | 0.0019 |