Results 11 to 20 of about 4,044,594 (272)
Modeling Earnings Dynamics [PDF]
In this paper we use indirect inference to estimate a joint model of earnings, employment, job changes, wage rates, and work hours over a career. Our model incorporates duration dependence in several variables, multiple sources of unobserved heterogeneity, job-specific error components in both wages and hours, and measurement error. We use the model to
Ivan Vidangos +2 more
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Dynamical affinity in opinion dynamics modeling [PDF]
We here propose a model to simulate the process of opinion formation, which accounts for the mutual affinity between interacting agents. Opinion and affinity evolve self-consistently, manifesting a highly non trivial interplay. A continuous transition is found between single and multiple opinion states.
BAGNOLI, FRANCO +4 more
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Dynamical reduction models [PDF]
The report presents an exhaustive review of the recent attempt to overcome the difficulties that standard quantum mechanics meets in accounting for the measurement (or macro-objectification) problem, an attempt based on the consideration of nonlinear and stochastic modifications of the Schroedinger equation.
BASSI, ANGELO, GHIRARDI, GIANCARLO
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Computational Modeling: Human Dynamic Model [PDF]
Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries.
Lijia Liu +3 more
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11 pages, 17 figures, conference paper, computer ...
Ghanem, Bernard, Ahuja, Narendra
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Catalyst Deactivation: Control Relevance of Model Assumptions [PDF]
Two principles for describing catalyst deactivation are discussed, one based on the deactivation mechanism, the other based on the activity and catalyst age distribution.
Bernt Lie, David M. Himmelblau
doaj +1 more source
Use of Dynamic Models in Cognitive Cyber-Physical Systems
This article discusses an approach to the development of large-scale cognitive cyber-physical systems characterized by a high level of structural, functional and architectural dynamics.
Michael Chervontsev +3 more
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In this paper we present an approach to the identification of nonlinear input-state-output systems. By using a bilinear approximation to the dynamics of interactions among states, the parameters of the implicit causal model reduce to three sets. These comprise (1) parameters that mediate the influence of extrinsic inputs on the states, (2) parameters ...
K J, Friston, L, Harrison, W, Penny
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Nonparametric dynamic modeling [PDF]
Challenging as it typically is, the estimation of parameter values seems to be an unavoidable step in the design and implementation of any dynamic model. Here, we demonstrate that it is possible to set up, diagnose, and simulate dynamic models without the need to estimate parameter values, if the situation is favorable.
Faraji, Mojdeh, Voit, Eberhard O.
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