Research Article
Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression
Table 3
Posterior parameter estimate at various quantile values.
| Parameter | | | | |
| | 8.832456 | 8.81072 | 8.586895 | 6.582426 | | 0.044465 | 0.056238 | 0.010074 | 0.09637 | | 0.416721 | 0.273557 | −0.03593 | 0.23371 | | 0.094641 | 0.127956 | −0.00163 | 0.229348 | | 0.030974 | 0.217873 | 0.346222 | 0.393446 | | −0.03138 | −0.03801 | −0.0054 | −0.06249 | | −0.00134 | 0.000169 | −0.00819 | 0.009342 | | 8.980103 | 3.062348 | 3.313797 | 0.803441 |
|
|