Residual estimation risk and parameter uncertainty
Parameter uncertainty and residual estimation risk
... study risk measurement procedures, but from a perspective that is complementary to that of Cont et ...of parameter uncertainty on capital ...a risk measure that is positive homogeneous, ...
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Parameter uncertainty and residual estimation risk
... study risk measurement procedures, but from a perspective that is complementary to that of Cont et ...of parameter uncertainty on capital ...a risk measure that is positive homogeneous, ...
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Modeling and estimating uncertainty in parameter estimation
... of uncertainty in inverse problems of a least squares for- ...estimated parameter as a random variable with unknown distribution, we conceptually reformulate the deterministic parameter ...
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Applying PEST (Parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models
... random parameter sets in a Monte Carlo style ...random parameter fields to replace solution space components with those estimated through the previous calibration ...random parameter sets were able ...
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Parameter Uncertainty in Exponential Family Tail Estimation
... This indicates the potential desirability of bias correction in such a context. In reality such a homogenous portfolio of independent exposures will not exist, so that the diversification of estimation volatility ...
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Parameter estimation and uncertainty quantification for an epidemic model
... for parameter estimates based on the first n used data points, where p + 1 ≤ n used ≤ ...one parameter is fitted, the stan- dard error decreases rapidly at first, but its decrease slows significantly just ...
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CiteSeerX — Parameter Uncertainty in the Collective Risk Model
... This paper proposes a new version of the collective risk model that allows for uncertainty in selecting the expected number of claims and the claim severity distrib[r] ...
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Risk parameter estimation in volatility models
... of risk parameter in con- ditional volatility models of the form ǫ t = σ t (θ 0 )η t and develops statis- tical procedures to estimate this ...given risk measure r, the risk parameter ...
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Risk-parameter estimation in volatility models
... the estimation of volatility ...QML estimation for volatility parameters has been exten- sively studied, in particular for the GARCH(1,1) by Lee and Hansen (1994), Lumsdaine (1996), for the GARCH(p, q) by ...
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Development of a Novel Residual Formulation of CTF and Application of Parameter Estimation Techniques.
... any uncertainty analysis efforts that will take place in the ...the uncertainty of the original document and the uncertainty of the model in the ...
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Estimation of the Residual Stresses Impact on the J Parameter Calculation in Welded Joint
... The work involved several different scientific disciplines and the special skills of a number of organizations: the Léon Brillouin Laboratory, Veqter Ltd, the LISN and the French Institute for Nuclear Safety and ...
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PARAMETER ESTIMATION OF FALSE DYNAMIC EIV MODEL WITH ADDITIVE UNCERTAINTY
... the estimation of the parameters for linear dynamic systems when also the input is affected by noise is recognized as more difficult problem which only recently has received increasing ...paper. Parameter ...
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Forecasting mortgage securitization risk under systemic risk and parameter uncertainty
... systematic risk exposures. This reflects the high degree of parameter estimation uncertainty, which is due to the relatively short time ...
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Influence of parameter estimation uncertainty in Kriging: Part 1 Theoretical Development
... point estimation of the multi-dimensional variable, a different spatial distribution of the measure of uncertainty and last but not least an inappropriate model choice for the ...and parameter ...
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Adaptive multiscale MCMC algorithm for uncertainty quantification in seismic parameter estimation
... Figure 4: Comparison of seismograms for: Blue: reference solution; Red: initial guess; Green: Best fitted solution CONCLUSIONS We present a multilevel MCMC approach coupled with hier- archical and adaptive forward models ...
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Parameter Uncertainty Estimation by Using the Concept of Ideal Data in GLUE Approach
... hydrological uncertainty about NASH model parameters is investigated and addressed in the paper through “ideal data” concept by using the Genera- lized Likelihood Uncertainty Estimation (GLUE) ...
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Uncertainty analysis of dynamic thermal rating based on environmental parameter estimation
... with uncertainty, the uncertainty of environment parameters based on Monte Carlo Method (MCM) is studied in this ...the uncertainty analysis of transmission line ampacity is realized based on CIGRE ...
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Variability and Uncertainty in Risk Estimation. for Brownfields Redevelopment
... was risk assessment. Risk assessment can be used to set remediation limits, lower remediation costs, lessen the stigma, and increase chances for redevelopment of a contaminated ...facility. Risk ...
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A Two Parameter Description for the Injury Risk of Flash Bangs with Uncertainty
... Abstract We study the random injury outcome caused by multiple flash bang submu- nitions on a crowd. We are particularly interested in the fluctuations in injury outcome among individual realizations. Previously, to ...
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Optimal diversification in the presence of parameter uncertainty for a risk averse investor
... Holding a sparse portfolio is known to be an efficient way to reduce exposure to estimation risk.4 In a minimum-variance framework with a large number of risky assets 500 stocks, [14] show[r] ...
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