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Nonlinear stochastic differential equation models with unobservable state variables are now widely used in analysis of PK/PD data.
In addition to these, the velocity field and the density are also among the unobservable state variables.
Unobservable state variables are usually estimated with extended Kalman filter (EKF), and the unknown pharmacokinetic parameters are usually estimated by maximum likelihood estimator.
The compartment model of Sorensen was adapted to the glucose metabolic behaviour in diabetic Göttingen Minipigs by means of experimental data and reduced by neglecting unobservable state variables.
Because my sample left school between 1976 and 1996, a period that spans 21 years, we might expect change in important unobservable state characteristics.
The regressions include state and time fixed effects that control for unobservable state- or year-specific factors that affect population size.
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Unscented Kalman filter (UKF) is employed to estimate the unobservable states and parameters in the demyelination neuron model from membrane potential dynamics.
The probability of eruption and other unobservable states can, however, be evaluated at discrete time steps to give a changing 'hazard forecast'.
Sellars claims that such a community can reasonably increase its explanatory resources by postulating unobservable states internal to each person that modulate that person's responses to the world.
The stochastic shielding approximation amounts to setting δ N i j ( t ) to zero for selected i → j transitions, namely for those transitions between "unobservable states", or (equivalently) between any two states with the same value of the measurement observable, i.e. the conductance.
In distributed systems where a controller usually makes control decisions with limited information from remote components, a timeout control provides a key mechanism through which the controller can infer valuable information about unobservable states and events in the system when direct feedback is either impossible or costly [36].
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