Calibration values for the models’ parameters
On the Bayesian calibration of expensive computer models with input dependent parameters.
... model calibration (IDBC) procedure, a fully Bayesian methodology that flexibly models input dependent optimal values for calibration parameters, and performs Bayesian inference on ...
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Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy
... PLS models based on NIR spectroscopy. The models were built and validated using a representative set of samples obtaining feasible and acceptable ...The models showed a large sensitivity capacity, ...
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Calibration of computational models with categorical parameters and correlated outputs via Bayesian smoothing spline ANOVA
... the calibration framework, and is thus the closest existing approach to what is needed ...categorical parameters in com- puter models (Qian, Wu & Wu 2008, Zhou, Qian & Zhou 2011, Storlie, ...
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Calibration of stochastic computer models
... parameter values within a reasonable computational search ...simulation calibration with promising ...simulation calibration under various conditions needs to be further ...the calibration ...
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Calibration of selfdecomposable Lévy models
... The interest rate is chosen such that the put-call parity holds as best as possible for all pairs of put and call options with the same strike and maturity. The subsample for the preestimator consists of every fifth ...
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Calibration and Simulation of DSGE Models
... macroeconomic models are either sufficiently complex that they must be solved computationally, or the questions being asked are inherently quantitative and so they should be solved ...insufficient. ...
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Estimation of genetic parameters and prediction of genotypic values in common beans using mixed models#
... genetic parameters, predict genotypic values with REML/BLUP (Restricted Maximum Likelihood/Best Linear Unbiased Prediction) and, based on these values, study the variability in common bean cultivars ...
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Estimation of Genetic Parameters and Prediction of Genotypic Values in Common Beans Using Mixed Models
... Prediction) and, based on these values, study the variability in common bean cultivars with carioca.. 19.[r] ...
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Calibration of hydrological model parameters for ungauged catchments
... two parameters n (num- ber of reservoirs) and k (storage ...NS values were ...possible values for the first parameter (n) and for the second parameter ...of values for both parameters, ...
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A new calibration approach to Beremin model's parameters
... 6. Calibration of Beremin model parameter based on m~σ u curves intersection using PCVN, ...new calibration method was proposed to find Beremin’s parameters determined by the intersection of m~σ u ...
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Calibration of hydrological model parameters for ungauged catchments
... ff models; discharge is only measured at a few locations, precipitation measurements are taken at some selected ...the models are based on the basic principles of physics (mass and ...
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Calibration of Piping Assessment Models in the Netherlands
... of several mechanisms Having determined the target reliability, the actual calibration code is applied. A convenient starting point is to pick standardized values for importance factors such as given in the ...
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Calibration and validation of land-use models
... land‐use models not ...land‐use models must be able to simulate complex processes, in order to represent the richness in behaviour that land‐use change processes exhibit (Clarke, ...land‐use models ...
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Optimal calibration for exponential Levy models
... approah in Engl, Hanke, and Neubauer (1996). In ontrast, we strive for a metho d that has only few tuning parameters, p ermits the alibration of the diusion o eÆient and is suited for observations with random ...
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Accelerating the calibration of stochastic volatility models
... outperforms the calibration with the fractional FFT. The simultaneous pricing of options with different strikes is not an exclusive advantage of the FFT methods compared to the direct integration method, because ...
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Calibration of Laboratory Models in Population Genetics
... Wade and Goodnight did not merely calibrate their flour beetle population to, e.g., another laboratory or natural population of flour beetles. Rather, they calibrated their data to several, various natural populations ...
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Uncertainty quantification and calibration of physical models
... In [Kennedy and O’Hagan, 2001], the authors thoroughly described the Bayesian calibration approach and also considered all sources of uncertainties to improve the discrepancy between the model and real process. ...
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Calibration of Multicurrency LIBOR Market Models
... Remark 2 Volatilities like λ k (t, T ) and v(t, T ) for the forward interest rates as well as for the FX rates could be either denoted in terms of absolute maturity times or relative times to maturity. For practical ...
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Accelerating the calibration of stochastic volatility models
... outperforms the calibration with the fractional FFT. The simultaneous pricing of options with different strikes is not an exclusive advantage of the FFT methods compared to the direct integration method, because ...
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Norms and values in sociohydrological models
... regression-based models that are not causal ...the parameters of the coupled SH model, such as the curvature parameter of the distribution function that trades off envirocentric val- ues with ...
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