MCMC Sampling Estimation of Poisson-Dirichlet Process Mixture Models

Table 1

Performance of estimates for .

	Bases
		(0.3, 10)	(0.5, 10)	(0.8, 10)
I = 1		(0.355, 10.057)	(0.533, 9.585)	(0.793, 8.605)
	S.D.	(0.076, 2.026)	(0.058, 2.264)	(0.020, 2.444)
	C.I.	(0.231, 0.512)	(0.426, 0.645)	(0.755, 0.831)
	C.I.	(5.716, 17.408)	(5.377, 13.992)	(3.609, 12.970)
I = 100		(0.283, 9.978)	(0.521, 9.662)	(0.811, 9.547)
	S.D.	(0.017, 0.430)	(0.021, 0.752)	(0.010, 1.351)
	C.I.	(0.225, 0.338)	(0.475, 0.563)	(0.784, 0.835)
	C.I.	(8.942, 10.975)	(8.256, 11.226)	(6.597, 12.014)