Exact(12)
We present the theory behind the method and strategies for assessing convergence and accuracy.
We review briefly the theory behind the method and discuss strategies for assessing convergence and accuracy.
Several iterations of assessing convergence and constraining priors were conducted.
(RAR 211 kb) Additional file 3: Assessing convergence of MCMC analyses.
There are two primary methods for assessing convergence: graphical and quantitative.
Its main use in the proposed implementation is for diagnosis purposes and for assessing convergence of the approximation.
Similar(48)
Subsequently, the method is explored for a large-scale three-dimensional geometry in order to assess convergence and computational cost.
As suggested by Hair et al. (2010), we used the factor loadings, composite reliability, and average variance extracted to assess convergence validity.
Calculating the ESS assessed convergence of the MCMC procedure.
To assess convergence, several chains with different starting values were run in parallel.
We also assessed convergence by calculating the effective sample size (ESS) (using the program Tracer v1.4, (http://beast.bio.ed.ac.uk/Tracer).ac.uk/Tracer
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