Research Article

Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression

Table 3

Posterior parameter estimate at various quantile values.

Parameter

8.8324568.810728.5868956.582426
0.0444650.0562380.0100740.09637
0.4167210.273557−0.035930.23371
0.0946410.127956−0.001630.229348
0.0309740.2178730.3462220.393446
−0.03138−0.03801−0.0054−0.06249
−0.001340.000169−0.008190.009342
8.9801033.0623483.3137970.803441