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Of these, 18,653 yielded good quality spots, of which following normalization, 13,078 genes passed stable and uniform log normal distribution settings (see Methods for details on data normalization and statistical analysis).
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Priors for historico-demographic parameters can be chosen among four common distributions: Uniform, Log-uniform, Normal and Log-normal.
Then, λ was estimated as the ratio of medians of the observed and expected uniform log-p-value distributions.
Stochastic parameter selection is typically facilitated by a Monte Carlo process incorporating known distributions (i.e., uniform, log-normal, and normal) of variability surrounding each parameter.
Other possible initial distributions include uniform, log-normal, Pareto, and many others; any of them can be incorporated in the model as far as there exist mgfs for the given q(t) (we note, however, that, in some particular cases, mgf does not exist for some values of q(t), see MA).
When ε=0.001 this is a proper prior distribution (i.e. it does not depend on the data and integrates to 1 [ 23]) and close to uniform on log and log.
This interpretation is largely based on the lithostratigraphic correlation of remarkably uniform wireline log profiles supported by regional biostratigraphic correlations.
Four different types of PSD, uniform, normal, log-normal and bimodal, are considered.
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