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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Environmetrics. 2018 May 18;29(4):e2504. doi: 10.1002/env.2504

FIGURE 2.

FIGURE 2

Coverage and posterior credible interval width of key parameters, using mean field variational approximation method for Bayesian inference and Markov chain Monte Carlo (MCMC). Performance estimated across 100 simulated data sets for key parameters h, βσ2 across a range of sample sizes (N = 100, 200, 300, 400, 500, 800). Width denotes the length of the 95% posterior credible interval. Coverage denotes the proportion of times that the true parameter falls within the 95% posterior credible interval. The dotted horizontal line marks 95%