Research Article
Sequential Truncation of R-Vine Copula Mixture Model for High-Dimensional Datasets
Table 6
Summary of 2-levels truncated R-vine copula mixture models.
| | | Edge | w (SD) | Type (1st) | (SD) | Type (2nd) | (SD) |
| | 1st tree | | | | 0.202 (0.015) | C | 3.082 (0.605) (0.356) | Rot.C90 | (0.039) | | 0.301 (0.063) | F | 4.056 (0.390) (0.594) | G | 3.004 (0.666) (0.464) | | 0.802 (0.014) | J | 5.005 (0.677) (0.183) | F | (0.436) | | 0.301 (0.014) | F | 7.085 (0.565) (0.575) | Sur.G | (0.154) |
| | 2nd tree | | | | 0.600 (0.030) | G | 4.999 (0.799) (0.309) | Ga | 0.497 (0.332) (0.039) | | 0.688 (0.062) | F | 4.151 (0.398) (0.474) | J | 2.912 (0.500) (0.464) | | 0.689 (0.064) | Ga | 0.295 (0.191) (0.042) | G | 3.006 (0.661) (0.436) |
| | 3rd tree | | | | — | | 0 (0) | — | — | | — | | 0 (0) | — | — |
| | 4th tree | | | | — | | 0 (0) | — | — |
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