Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression

Table 4

Empirical mean and standard deviation for each parameter, with standard error of the mean at .

Parameter	Mean	SD	Naive SE	Time-series SE
[1]	8.8107204	0.24925	0.000557	0.005705
[2]	0.0562377	0.06056	0.000135	0.000989
[3]	0.2735569	0.78952	0.001765	0.084209
[4]	0.1279555	0.10345	0.000231	0.001989
[5]	0.2178729	0.78366	0.001752	0.075442
[6]	−0.0380131	0.04904	0.00011	0.000912
[7]	0.0001692	0.08409	0.000188	0.001818
[1]	3.5536795	1.6551	0.003701	0.008894
[2]	3.8391055	1.75822	0.003932	0.008311
[3]	3.2403607	1.48188	0.003314	0.005923
[4]	2.8009853	1.29663	0.002899	0.005247
[5]	2.9037541	1.33627	0.002988	0.005209
⋮	⋮	⋮	⋮	⋮
	3.062346	32698	0.00073	0.00568