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Given a sample of a d-dimensional design variable X and observations of the corresponding values of a measurable function m:Rd→R without additional errors, we are interested in estimating m on whole Rd such that the L1 error (with integration with respect to the design measure) of the estimate...
Persistent link: https://www.econbiz.de/10011039918
A theory which describes the share price evolution at financial markets as a continuous-time random walk (Physica A 287 (2000) 468, Physica A 314 (2002) 749, Eur. Phys. J. B 27 (2002) 273, Physica A 376 (2000) 284) has been generalized in order to take into account the dependence of waiting...
Persistent link: https://www.econbiz.de/10011057745
A question of interest in the demographic and actuarial fields is the estimation of the age-specific mortality pattern …
Persistent link: https://www.econbiz.de/10005557963
the Kalman Filter technique nesting a great variety of interpolation setups. We evaluate competing models and provide a …
Persistent link: https://www.econbiz.de/10005465172
interpolation. The method allows using sparse grids and thus mitigates the curse of dimensionality. A framework of the pricing … algorithm and the corresponding interpolation methods are discussed, and a theorem is demonstrated that suggests that the …
Persistent link: https://www.econbiz.de/10005561638
method, which considers a process of maximization for structural interpolation. Since Venezuela does not escape the problem …
Persistent link: https://www.econbiz.de/10011191501
In this paper we introduce a structural non-linear time series model for joint estimation of capacity and its …
Persistent link: https://www.econbiz.de/10011195670
Дан анализ эффективности классических методов интерполяции Ньютона и Лагранжа применительно к интерполяции законов функционирования дискретных...
Persistent link: https://www.econbiz.de/10011238057
Persistent link: https://www.econbiz.de/10011091828
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels. Furthermore, it extends Kriging to random simulation, and discusses bootstrapping to estimate the variance...
Persistent link: https://www.econbiz.de/10011092363