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We introduce a new map parameter that determines the minimum input pulse width that can be launched into a dispersion-managed soliton system.
The specific correspondence functions that map parameter values and HIs require further refinement in order for the model to be applicable to other ecosystems, particularly those with inherently different physicochemical and climatic conditions (e.g. saline lakes and temperate climates).
We note that Casper uses MAP parameter estimation, finding the mode of the posterior distribution, while the BitSeq methods estimate the mean of the posterior distribution.
First, under Jeffreys' prior the maximum a posteriori (MAP) parameter estimate of T can be used as central point-estimate of T that is invariant to reparameterization [ 41, 42].
Despite a seeming increase in cluster 2 duration, no statistically significant differences appeared between both conditions for any map parameter (all p values >0.15 for each comparison of pre- and post-craniotomy parameters), except a statistically higher post-craniotomy map 2 GEV (mean 0.101, standard error (SE) 0.005) than pre-craniotomy (mean 0.020, SE 0.007; p value 0.0045).
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Specific map parameters are summarized in Table 3.
It is demonstrated that the circuit and map parameters are analytically related.
This paper investigates various regression models to predict the compressor and turbine map parameters.
Using the genetic algorithm (GA), the method searches over multiple MAP parameters simultaneously, rather than over each parameter individually.
Formulae for the optimal map parameters are deduced analytically and indicate that significant acceleration of the geometric rate of convergence is possible.
The identifiability of this model will then be addressed, followed by a description of how the EM algorithm is used to determine MAP parameters.
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