Exact(1)
This approach presents disadvantages in comparison with the modelling with parametric regressors: The method employed by Pinel and colleagues [ 4] may fail to distinguish between the impact of decade distance and overall distance on fMRI signal (i.e. the first empirical question examined in the present example).
Similar(59)
Trials were modeled with parametric regressor modeling (in the following order): (1) the intradimensional difference in the probability dimension or in the payoff dimension, and (2) the unidimensional difference between overall values/utilities of two bets on the unidimension alone.
These estimates were modelled with flexible parametric survival models using a restricted cubic spline for the baseline mortality rate.
Moreover, a robust control scheme is applied to the T S fuzzy model with parametric uncertainties.
This paper presents a kind of time-varying impulsive Takagi Sugeno (T S) fuzzy model with parametric uncertainties in which each subsystem of the model is time-varying.
To this effect, practical assumptions are exploited in order to obtain a linear design model with parametric uncertainties describing the dynamics of the vessel.
This paper presents a general impulsively-coupled complex switched network (ICCSN) model with parametric uncertainties and multiple Time-varying Delays in both the linear and nonlinear terms.
This method has been recently extended to allow the properties of the FE components of built-up structures to be uncertain like interval or probabilistic, and the hybrid model with parametric and non-parametric uncertainties is obtained.
In this paper, a guaranteed cost fuzzy impulsive control (GCFIC) problem is addressed for uncertain continuous-time nonlinear systems which can be represented by the Takagi Sugeno (T S) fuzzy model with parametric uncertainties.
Solid: data; dashed: model with parametric bound tuned to maximize reward rate.
Frameworks that associate cancer dynamic disease progression models with parametric survival models for clinical outcome have recently been proposed to support decision making in early clinical development.
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