Results 11 to 20 of about 334,309 (266)
Modeling Earnings Dynamics [PDF]
Econometrica, 2009 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]
Physical Review E, 2007 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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ComTech, 2021 The research described a model formulation of COVID-19 using a dynamic system of Ordinary Differential Equation (ODE) which involved four population systems (susceptible, exposed, infectious, and recovered).
Yohannes Dhimas Mahardika
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Dynamical reduction models [PDF]
Physics Reports, 2003 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]
Frontiers in Neurorobotics, 2020 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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Computer Vision and Image Understanding, 2013 11 pages, 17 figures, conference paper, computer ...
Ghanem, Bernard, Ahuja, Narendra
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Synchronization of dissipative dynamical systems driven by non-Gaussian Lévy noises [PDF]
, 2009 Dynamical systems driven by Gaussian noises have been considered extensively in modeling, simulation, and theory. However, complex systems in engineering and science are often subject to non-Gaussian fluctuations or uncertainties.
Duan, Jinqiao +3 more
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Journal for Person-Oriented Research, 2018 One challenge to understanding mechanisms of behavior change (MOBC) completely among individuals with alcohol use disorder is that processes of change are theorized to be complex, dynamic (time varying), and at times non-linear, and they interact with ...
Kidist Bekele-Maxwell +6 more
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NeuroImage, 2003 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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