. Author manuscript; available in PMC: 2018 Jan 30.

Published in final edited form as: Bayesian Anal. 2017 May 16;12(2):583–614. doi: 10.1214/17-BA1056R

Table 1.

Parameter estimates for the predictive process (PP) and modified predictive process (MPP) models in the univariate simulation.

	μ	σ²	τ²	RMSPE
True	1	1	1
m = 49
PP	1.37 (0.29,2.61)	1.37 (0.65,2.37)	1.18 (1.07,1.23)	1.21
MPP	1.36 (0.51,2.39)	1.04 (0.52,1.92)	0.94 (0.68.1,14)	1.20
m = 144
PP 1.36	(0.52,2.32)	1.39 (0.76,2.44)	1.09 (0.96, 1.24)	1.17
MPP	1.33 (0.50,2.24)	1.14 (0.64,1.78)	0.93 (0.76,1.22)	1.17
m = 900
PP	1.31 (0.23, 2.55)	1.12 (0.85,1.58)	0.99 (0.85,1.16)	1.17
MPP	1.31 (0.23,2.63)	1.04 (0.76,1.49)	0.98 (0.87,1.21)	1.17