Although the accommodation of topological uncertainty comes at the expense of less precise inferences (through considering a broader portion of parameter space), we regard this as a more honest approach to presenting the historical signal possessed in the empirical data.
This pair of results reinforces the logical point that the size of some portion of parameter space is not informative about the likelihood of a system to lie in that portion.
Using the best available estimates for parameters of how C. elegans evolves, we conclude that pure selfing can persist for only short evolutionary intervals, and is expected to lead to extinction within thousands of years for a plausible portion of parameter space.
Within the portion of parameter space that admitted reasonable fits to the data, our simulations consistently matched the mean population size in the Bimini nursery; however, simulations regularly generated variances distinctly lower than that seen in the actual data set, even when data variance fell with the middle 95% of the sampling distribution of the variance.
A portion of these parameters was either taken directly from literature sources or estimated from literature data.
As is typical of models of this size, it was found that all benchmarks have identifiability issues, with a portion of their parameters exerting very little influence on the model outputs.
As a specific example, we show that a good portion of the parameter space of a supersymmetric dark matter model can be probed with HERD.
The package also contains a structural search algorithm designed for the retrieval of the global R-factor minimum between calculated and measured intensity spectra within a given portion of the parameter space using Tensor LEED.
During school holiday period (panel A), European countries are found to be close to the critical level, with a portion of the parameter space for Europe in the extinction region, thus confirming the results presented before regarding variations in the country-specific risks of major epidemics.
Moreover, to cover an adequate portion of the uncertain parameter space, the number of necessary evaluations of the model grows exponentially with the number of uncertain parameters, leading often to a large number of runs.
