Table 4.

Performance of Markov chain Monte Carlo scheme with various sampling variances. Although the mean varies largely from low variance to high variance, all sampling variances yield similar mode and median. In this study, mode is used as point estimate of parameters in the mass-action based mathematical model.

Hyperparameter, a	Accepted steps	Total steps	Acceptance rate	Statistics of parameter k1 [cm5 / (nmol.sec)]
				Mean	Median	Mode	Standard deviation	95% Credible interval
2	2×105	2.30×105	87.0%	7.38×10−3	7.32×10−3	7.27×10−3	6.68×10−4	6.07×10−3 −8.67×10−3
5	2×105	3.71×105	53.9%	7.51×10−3	7.52×10−3	7.59×10−3	6.52×10−4	6.23×10−3 −8.79×10−3
7	2×105	4.74×105	42.2%	1.21×10−2	8.06×10−3	7.48×10−3	1.203×10−2	0.0 – 6.023×10−2