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We compared the performance of four published MCMC samplers and five novel sampler variations that we developed.
We report the results of a large-scale simulation study comparing the relative performance of state-of-the-art MCMC samplers (Grzegorczyk and Husmeier 2008; Goudie and Mukherjee 2011) with novel sampler variations developed by us and with the standard Metropolis–Hastings structure samplers (Madigan et al. 1995; Giudici and Castelo 2003).
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But, because of statistical sampling variations, the difference between the numbers was minimal, the group said.
Sample-to-sample variations have been discussed and uncertainties in experimental techniques have been analysed.
Nevertheless, the tensile index values of some sample variations are higher compared to the aged reference.
Principal components analysis was applied to obtain an overview of the sample variations and to identify behavioural patterns.
Mud logging data are composed of descriptions of cuttings composition, spot coring samples, variations in mud temperature, and ROP.
To minimise sample variations, we used identical number of cells and high quality RNA.
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We further reduced probe-to-probe and sample-to-sample variations by segmenting the 13 internal reference probes.
Since we used a high number of simulations, sampling variations are represented as a 3D-Gaussian curve.
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