[PDF] Top 20 Uncertainty quantification and Heston model
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Uncertainty quantification and Heston model
... In many financial markets as equity and interest rate, the so-called volatility smile ap- pears as an important feature of pricing models, being the reflection of the not constant behaviour in market volatilities for ... See full document
12
Sensitivity analysis and uncertainty quantification for environmental models*,**,***
... The NOE model is a spatially distributed code which is used to assess the economic impact of flood risk [7]. It calculates the so-called EAD risk indicator (Expected Annual Damage [ e /year]), which is defined as ... See full document
22
Taming Uncertainty: The Limits to Quantification
... of model risk: the risk arising from feeding the outputs of a flawed model to the (presumed correct) decision principle, thus leading to poor ...of model mis-specification, as well as inappropriate ... See full document
7
Uncertainty quantification of floodplain friction in hydrodynamic models
... The reader may ask himself or herself about which ap- proach to be used. In this case it is useful to compare the absolute difference of the flow velocity with and without the floodplain friction formulation (see Fig. ... See full document
13
UNCERTAINTY QUANTIFICATION FOR CLIMATE OBSERVATIONS
... to uncertainty quantification (UQ) in climate research because they form the very basis for any evidence of climate change and provide a corroborating source of information about the way in which physical ... See full document
5
Uncertainty Quantification in 2D Morphodynamic Model: Application to the Gironde Estuary.
... of various parameters and needs to be specified through measurements. The percentage of cohesive and non cohesive sediment in the area of the estuary are established by the quantiles P [d ≥ 63µm] and P [d ≤ 63µm] of this ... See full document
8
Comparison of non-intrusive approaches to uncertainty propagation in orbital mechanics
... an uncertainty region in orbital mechanics, and to build a high order nonlinear representation of the quantity of ...an Uncertainty Quantification-High Dimensional Model Representation ... See full document
14
Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions
... mathematical model that was used to quantitate the interaction between HIV-1 and the immune system on an individual patient level ...mathematical model using longitudinal data from a clinical study ... See full document
7
Uncertainty Quantification in Modeling HIV Viral Mechanics
... their model parameters could be taken as constant across patients, other parameters, including some describing the latent HIV-1 reservoir, varied between ...parameter uncertainty is a highly non-linear ... See full document
30
Uncertainty Quantification Using Concentration of Measure Inequalities
... integrated model of the entire system can subsequently be obtained by modeling the coupling between the ...The uncertainty of subsystems higher in the hierarchy can then be controlled by means of powerful ... See full document
204
Boundary Conditions and Uncertainty Quantification for Hemodynamics.
... We address outflow boundary conditions for blood flow modeling. In particular, we con- sider a variety of fundamental issues in the structured tree boundary condition. We provide a theoretical analysis of the numerical ... See full document
146
Uncertainty Quantification and Propagation Methodology for Steady State Safety Analysis of Lead-cooled Fast Reactors.
... system model is envisioned to include a primary heat transfer system and emergency heat removal system (DRACS) driven by natural ...The model is generated in the limited, non-commercial version of ... See full document
68
Multidimensional quantification of uncertainty and application to a turbulent mixing model
... Through the estimation of the TKE and volume fraction profiles, it was shown that K − L is capable of preserving the self-similar nature of the instability across a wide range of coefficient variation. The level of ... See full document
25
Uncertainty Modeling of Radiological Risk using Probability and Possibility Methods
... Fig.6 Comparison of total risk using P-box and Fuzzy set The objective of the uncertainty analysis is to quantify uncertainty in model output.. Quantification of uncertainty helps in eff[r] ... See full document
5
Parameter estimation and uncertainty quantification for an epidemic model
... how uncertainty estimates, such as standard errors, are ...the model, such as the relationship between error variance and the magnitude of the observation being ... See full document
34
Quantification of Variability and Uncertainty in Emission Factors and Emission Inventories
... probability plots and test statistics. It is widely recognized that probability plots are a subjective method for determining whether or not data contradict an assumed model based upon visual inspection. However, ... See full document
369
Uncertainty quantification and weak approximation of an elliptic inverse problem
... Abstract. We consider the inverse problem of determining the permeability from the pressure in a Darcy model of flow in a porous medium. Mathematically the problem is to find the diffusion coefficient for a linear ... See full document
20
Uncertainty quantification for classical effective potentials : an extension to potfit
... sloppy model is that the the basin encapsulating the minimum has significantly differing degrees of curvature along the principal axes, therefore the majority of interatomic potentials fitted in potfit fall into ... See full document
14
Uncertainty quantification of squeal instability via surrogate modelling
... In order to evaluate the soundness of the numerical simulations, or the validity of the model, the physical brake is tested. The measurement setup is shown in figure 6. A two dimensional (2D) scanning vibrometer ... See full document
38
Optimal dynamic mean variance asset liability management under the Heston model
... (CEV) model (see Cox and Ross [14]), Stein–Stein model (see Stein and Stein [15]) and Heston model (see Heston [16]), where the CEV model and the Heston model have ... See full document
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