Variants of PAL that model soft information augment their models with plausibility-orderings on information-states (Baltag and Smets 2008).
We are unaware of any model with neurobiological plausibility that simultaneously reproduces scale-free size distributions and critical time-domain measures (e.g. 1/f spectra and DFA).
We combined our findings on predicted CI patterns with population genetic simulations to test the models for plausibility and to make new predictions.
In the present study, the low prediction is the mean of the life-table model; the high prediction is the mean of the model without plausibility assumptions, with an imaginary birthcohort and with years 1988–1990 background hazard rates.
We explore with biochemical models of increasing plausibility how buffering can be elicited.
The optimal model was chosen as the convergence of the forward and backward models, with consideration of parsimony and plausibility.
We forced two variables (HTLV status and referral for further exam) into the final model for plausibility: our hypothesis is that they were associated with participation, although they were not statistically significant in our adjusted model.
Consequently, two models with similar average atomic displacements may nevertheless differ significantly in their stereochemical plausibility, and some models might include atomic arrangements that are physically impossible.
To represent and manipulate perception-based evaluations of uncertainties of facts and rules, the expert system uses an uncertainty model with qualitative scales of plausibility values and multi-set-based fuzzy algebra of strict monotonic operations.
However the process should be transparent, consider other data (e.g., emerging in vitro, clinical interaction, urine, human mass-balance data) in addition to plasma PK data, be purpose driven, and be discussed with regard to model plausibility.
We will discuss the application of lDDT for assessing local correctness of models, including stereochemical plausibility.
