[PDF] Top 20 Model and distribution uncertainty in multivariate GARCH estimation: a Monte Carlo analysis
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Model and distribution uncertainty in multivariate GARCH estimation: a Monte Carlo analysis
... Normal distribution is completely inadequate in our framework, leading to strong and persistent under-predictions of the Value at Risk with both BEKK and DCC class ... See full document
26
Uncertainty analysis for a wave energy converter: the Monte Carlo method
... lacks uncertainty analysis is due to the challenge of modelling a complex WEC system in a complex environment [6, ...the model and, second, evaluate how variables and their associated uncertainties ... See full document
10
Reduction of Monte Carlo simulation runs for uncertainty estimation in hydrological modelling
... redundant model runs may be large. These redundant model runs are runs carried out only to be subsequently discarded due to a performance below the threshold set under the GLUE ...the model. This is ... See full document
13
Statistical analysis of weibull estimation uncertainty for crack initiation testing through Monte Carlo simulation
... the model parameters of SCC initiation ...likelihood estimation (MLE) [McCool ...exact estimation uncertainties for the estimated Weibull parameters with interval-censored data [McCool ...on ... See full document
10
Advances in Portmanteau Diagnostic Tests
... asymptotic distribution as chi-square distribution when applied on linear ...a Monte Carlo based Test to obtain the p-value to avoid the approxi- mation errors with Gamma Approximation ... See full document
91
Comparison of the Gum and Monte Carlo Methods for the Uncertainty Estimation in Electromagnetic Compatibility Testing
... of Monte Carlo trials (i.e., the number of model evaluations made) in where the distribution function of the value of the output quantity Y will be numerically ...empirical distribution ... See full document
20
Generalizations of the Multivariate Logistic Distribution with Applications to Monte Carlo Importance Sampling
... Bayesian analysis of a con- tingency table involving a cross-classification of 132 long-term schizophrenic patients into three row categories (frequency of hospital visits) and three column categories (length of ... See full document
199
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy
... The uncertainty analysis of many hydraulic and hydrological models has been tackled by many researchers using various uncertainty methods ...Likelihood Uncertainty Estimation (GLUE) to ... See full document
47
Monte Carlo Estimation Of The Parameters Of Two-Component Mixture Weibull Distribution
... Weibull distribution for various values of ...for estimation of wind speed distributions in the island of Gran ...the analysis of wind speed data in the Eastern ...through Monte Carlo ... See full document
20
Inference and Properties of Mixture Two Extreme Lower Bound Distributions
... cluster analysis, latent structure models, modeling prior densities, empirical Bayes method and nonparametric density ...new distribution which has the properties of its ...of estimation techniques, ... See full document
7
Estimation of a multivariate mean under model selection uncertainty
... the estimation of a multivariate mean when many estimators are plausible for a set of K ...a multivariate normal distribution, it is assumed that the true model ...the model ... See full document
15
Efficient Computation and Uncertainty Analysis of Underwater Acoustic Propagation based on Kriging Surrogate Model
... surrogate model is introduced to simplify the computation of underwater acoustic propagation and quantify the related ...Kriging model to replace the single frequency and multi-frequency FOR3D acoustic ... See full document
9
Quasi Monte Carlo and multilevel Monte Carlo methods for computing posterior expectations in elliptic inverse problems
... the model inverse problem of determining the distribution of the diffusion coefficient of a divergence form elliptic partial differential equation (PDE) from ob- servations of a finite set of noisy ... See full document
27
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization
... Naive interpretation of S 2 s may lead one to misinterpret un- certainty to be infinite S s 2 = 1 and the plane’s orientation to be uniformly random where it might be very well constrained in reality. That is so because ... See full document
18
Estimation of Multivariate Sample Selection Models via a Parameter Expanded Monte Carlo EM Algorithm
... to model a system of two or more seemingly unrelated equations, where the outcome variable for each equation may be non-randomly missing or censored according to its own stochastic selection ...correlated ... See full document
7
Original Article Identification of B-cells participating in ifferentially- expressedp athways and hub genes in postmenopausal women with osteoporosis
... Raw microarray data concerning PMOP (acces- sion number: GSE7429) [17] were downloaded from Gene Expression Omnibus (GEO, http:// www.ncbi.nlm.nih.gov/geo/) based on the plat- form of GPL96 [HG-U133A] Affymetrix Human ... See full document
7
Sensitivity and uncertainty analysis of βeff for MYRRHA using a Monte Carlo technique
... The k-ratio method itself is currently subdivided into two techniques: the prompt k-ratio method [7] and the modi fi ed k-ratio method proposed by Chiba [10,11]. Our previous study [12] by MCNP for a critical con fi ... See full document
7
Efficient use of Monte Carlo: the fast correlation coefficient
... Abstract. Random sampling methods are used for nuclear data (ND) uncertainty propagation, often in combination with the use of Monte Carlo codes (e.g., MCNP). One example is the Total Monte ... See full document
5
chwgmm slides rc 1209 bergen
... Motivation Model Euler Equation Estimation Monte Carlo Estimation Concluding Comments Goal: Estimate Structural parameters in models with discrete and?. continuous choices.[r] ... See full document
55
The International Transmission of Volatility Shocks on an Emerging Economy: The Case of Malaysia
... that uncertainty has a prominent place in policy ...the uncertainty is resolve, it can create a temporarily investment ...reducing uncertainty in order to mitigate its impact on the overall ... See full document
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