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His models typically involve people having to make decisions without all the information they would like and with considerable uncertainty about the future, sometimes resulting in asset-price behaviour that seems relatively efficient and at other times quite irrational.Back to workWhat all three laureates share is a commitment to backing up theoretical work with rigorous empirical analysis.
For example, neuron models typically involve observable differences in time scales.
Due to the fact that such models typically involve huge amounts of data, the exchanging of them in network-based integrated design environments (IDEs) is a critical issue.
However, these policy models typically involve imposing a particular structure on the environment; for instance, defining entities as managed objects e.g. the self-managed cells of Ponder2[37], the grouping of agents with trusted controllers[38], and/or other constraints, e.g. a particular form of interaction[39 41] (see §5.5).
These models typically involve many free parameters whose determination is a substantial obstacle to model development.
Heterogenous models typically involve the elaboration of a simple Gaussian kernel to accommodate phylogeny- or time-structured variation in the evolutionary process.
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Full phenotypic characterization of these models typically involves maintenance on iron-loaded or -deficient diets, treatment with oxidative or hemolytic agents, breeding to other mutant lines or other stresses.
The simulation and engineering of metabolic network models typically involves complex optimization procedures.
Designing an experiment to fit a response surface model typically involves selecting among several candidate designs.
However, such models, which typically involve systems of linear differential equations, implicitly assume that the probability distributions of the inter-division and death times are exponential.
Both types of models will typically involve complex mathematical formulations and require estimates of a number of biological parameters as inputs.
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