Table 7.
Comparison of low and high-dimensional models for gene expression data with Laplacian penalization.
Model Type | Predictors
|
Log-likelihood | c-statistic | χ2 | |
---|---|---|---|---|---|
Overall | Selected | ||||
Exponential | |||||
Low-dim | 5 | 5 | −86.27 | 0.71 | 17.14 |
High-dim | 24,496 | 13 | −87.51 | 0.67 | 2.74 |
Weibull | |||||
Low-dim | 5 | 5 | −85.63 | 0.71 | 12.79 |
High-dim | 24,496 | 13 | −86.80 | 0.66 | 3.75 |
Log-Logistic | |||||
Low-dim | 5 | 5 | −85.65 | 0.70 | 14.71 |
High-dim | 24,496 | 9 | −86.20 | 0.68 | 3.66 |
Log-Normal | |||||
Low-dim | 5 | 5 | −52.10 | 0.70 | 15.98 |
High-dim | 24,496 | 9 | −53.46 | 0.66 | 8.57 |