[PDF] Top 20 Parameter estimation and uncertainty quantification for an epidemic model
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Parameter estimation and uncertainty quantification for an epidemic model
... how uncertainty estimates, such as standard errors, are ...between parameter estimates, as we shall see below, although they can indicate instances in which parameter estimates are likely to be ... See full document
34
Parameter estimation for the stochastic SIS epidemic model
... cases of parameter estimation for both one sample of data and multiple samples. We also investigate the factors which influence the width of the confidence intervals and the areas of the confidence regions. ... See full document
26
A review on West African Ebola epidemic dynamics models
... Ebola epidemic models that are used to investigate the development of the ...for model stability analysis, parameter estimation, determination of growth and size of epidemic, theories ... See full document
16
Modeling the variations in pediatric respiratory syncytial virus seasonal epidemics
... age-stratified model, possibly with different mixing mechanisms, would more closely resemble the true ...of uncertainty in parameter estimates, includ- ing Bayesian methods [26,27] and likelihood and ... See full document
9
Synthesis of Uncertainty Quantification, Surrogate Modeling, and Robust Control Design for PZT Bimorph Actuators.
... Monnigmann’s parameter subset selection [ 29 ] ...the parameter values are drastically ...minimizes uncertainty; ...al., parameter subset selection is capable of comparing parameter ... See full document
104
Uncertainty Quantification for a Class of MEMS-based Vibratory Angular Rate Sensors
... mathematical model that represents the dynamical behavior of mass-spring type vibratory ...number, uncertainty quantification is performed for parameter uncertainties in input angular rate, ... See full document
169
Bayesian Estimation and Uncertainty Quantification in Differential Equation Models.
... the parameter vector, we can draw the posterior samples and hence arrive at an extension of RKSB method for PDE ...the parameter vector obtained from both methods should behave like a Gaussian distribution ... See full document
121
Optimal Design for Minimizing Uncertainty in Dynamic Equilibrium Systems
... on parameter estimation that results from perturbing a dynamic system away from its oscillatory steady ...for parameter estimation than an unaltered or undisturbed system, as evidenced by ... See full document
23
Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China
... a parameter does not indicate that the model is not sensitive to these ...of uncertainty when dealing with stream flow simulation (Eckhardt and Arnold, 2001; Lenhart et ...SWAT model to up- ... See full document
12
Quantification of Variability and Uncertainty in Emission Estimation: General Methodology and Software Implementation
... distribution model, first a pseudo random random number is generated from a uniform distribution over the range of zero to ...a model. The random values for each model input are used to calculate a ... See full document
323
Parameter Uncertainty Estimation by Using the Concept of Ideal Data in GLUE Approach
... drological model structure and model ...the uncertainty of the hydrological data can be summarized as below: 1) Representativeness of the distribution character and mathematical expectation of ... See full document
19
Uncertainty Quantification in 2D Morphodynamic Model: Application to the Gironde Estuary.
... OpenTurns uncertainty library [4] to process the data in Sections ...the uncertainty quantification can also be conducted from a small set of the most important parameters of the 2D morphodynamic ... See full document
8
An integrated uncertainty and ensemble based data assimilation approach for improved operational streamflow predictions
... of uncertainty analysis methods and data assimilation techniques have been developed and reported in the hydrologic ...the uncertainty analysis methods, among many others, include the generalized likelihood ... See full document
17
Optimization Algorithm For Decision Theory With Uncertainty
... include estimation errors [4], Such uncertainty parameter can be product demand in processing planning [5], such uncertainty in process synthesis in reaction-separation- recycling systems ... See full document
5
Influence of parameter estimation uncertainty in Kriging: Part 1 Theoretical Development
... of parameter uncertainty of the Kriging estimates for a given model structure, while the possible source of errors induced by the wrong model choice is not dealt ...of model choice can ... See full document
9
Multidimensional quantification of uncertainty and application to a turbulent mixing model
... Several methodologies have been developed for quantifying the uncertainty in a random process [1]. The UQ methodologies can be divided into probabilistic and non probabilistic. Furthermore, the methodologies can ... See full document
25
Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China
... rainfall-runoff model, HBV-light, with emphasis on parameter identifiability, uncertainty, and model structural ...the model parameters are highly sensitive when runoff signatures or ... See full document
17
Parameter uncertainty and residual estimation risk
... residual estimation risk, in the context of parametric models, we discuss modifications to the capital setting procedure that reduce or even eliminate residual ... See full document
41
Uncertainty analysis of dynamic thermal rating based on environmental parameter estimation
... DTR model based on CIGRE stand- ard is given. The DTR uncertainty is evaluated by MCM ...the estimation uncertainty of ambient temperature, wind speed, and wind direction at 8 ...optimal ... See full document
10
Uncertainty quantification and Heston model
... After having an insight in the three cases we can describe some conclusions. If the Feller condition is satisfied, the implied volatility and the put price increase with increasing κ and decreasing γ . The response ... See full document
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