From: Leveraging change point detection to discover natural experiments in data
 |  | COVID Air | Khan |
---|---|---|---|
 |  | Time (day) | Time (sec) |
MtChD(RF) | \(\mu (t_{0})\) | 80.0829 | \(\mathbf{1.3703e}{\boldsymbol{+}}\mathbf{09}\) |
\(\sigma (t_{0})\) | 2.9713 | \(\mathbf{2.6992e}{\boldsymbol{+}}\mathbf{05}\) | |
μ(α) | 0.4164 | 0.2803 | |
σ(α) | 0.0392 | 0.0029 | |
MtChD(MLP) | \(\mu (t_{0})\) | 99.5820 | \(\mathbf{1.3694e}{\boldsymbol{+}}\mathbf{09}\) |
\(\sigma (t_{0})\) | 99.5820 | \(\mathbf{1.3694e}{\boldsymbol{+}}\mathbf{09}\) | |
μ(α) | 0.4843 | 0.1491 | |
σ(α) | 0.3264 | 0.0173 | |
DP + Normal | \(\mu (t_{0})\) | 71.8333 | 1.3577e+09 |
(Normal GLR eq.) | \(\sigma (t_{0})\) | 0.3727 | 2.2059e+07 |
DP + RBF | \(\mu (t_{0})\) | 37.1667 | 1.3763e+09 |
\(\sigma (t_{0})\) | 25.5761 | 9.4481e+06 | |
DP + L2 | \(\mu (t_{0})\) | 70.1667 | 1.3679e+09 |
\(\sigma (t_{0})\) | 53.8911 | 1.0014e+07 | |
BinSeg + RBF | \(\mu (t_{0})\) | 1.0000 | 1.3741e+09 |
\(\sigma (t_{0})\) | 0.0000 | 8.9074e+06 | |
Window + RBF | \(\mu (t_{0})\) | 55.0000 | 1.3587e+09 |
\(\sigma (t_{0})\) | 0.0000 | 1.2031e+07 | |
BottomUp + RBF | \(\mu (t_{0})\) | 54.0000 | 1.3528e+09 |
\(\sigma (t_{0})\) | 0.8165 | 1.2960e+06 | |
Uniform + Gaussian | \(\mu (t_{0})\) | 96.9167 | 1.3439e+09 |
\(\sigma (t_{0})\) | 37.5859 | 4.2047e+06 | |
Uniform + IFM | \(\mu (t_{0})\) | −0.5833 | 1.3564e+09 |
\(\sigma (t_{0})\) | 0.8858 | 1.5300e+07 | |
Uniform + FullCov | \(\mu (t_{0})\) | 0.0000 | 1.3591e+09 |
\(\sigma (t_{0})\) | 0.6455 | 1.6176e+07 | |
Geo + Gaussian | \(\mu (t_{0})\) | 8.1667 | 1.3396e+09 |
\(\sigma (t_{0})\) | 8.9334 | 2.9504e+05 |