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Simulations results for a multi-cell stack have also been demonstrated to show capability of the model on simulating cell to cell variation.
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We evaluated how landscape configuration structures home ranges of animals by performing individual-based, spatially explicit computer simulations using each model on simulated landscapes that differed only in the spatial continuity of resources among patches (from over-dispersed to clumped).
To seek for such a pattern, we applied a segmented regression model on simulated data Z jk (1 ≤ k ≤ 10), with one breakpoint occurring at generation G b (2 ≤ b ≤ 7).
We explore the performance of the proposed model on simulated data, with both block- and event-related design, and on real fMRI data.
The Nested Bias Correction (NBC) approach is used to correct possible biases of precipitation (simulated directly by the GCMs) and PET (estimated by applying FAO56-Penman-Monteith model on simulated parameters of the GCMs).
Our aim for the current work was to examine the effects of parietal lesion in the model on simulated visual search behaviour.
We first tested the Bayesian Dirichlet model on simulated data.
We also tested our model on simulated metagenome sequences, as discussed in the Supplementary Material.
We assess the performance of our model on simulated data and compare it with favorable results to related methods.
We assess the performance of our model on simulated data and compare it with favorable results of other unsupervised methods.
We demonstrate the advantages of the model on simulated data and reanalyze gene expression data from a published study on Drosophila melanogaster (Ayroles et al. 2009).
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