Parameter Estimation for the Analytical Expressions
Asymptotically efficient estimation of a scale parameter in Gaussian time series and closed-form expressions for the Fisher information
... scale parameter σ 2 in the model Z i,n = σ n − β X i + Y i , i = 1, ...closed-form expressions for the asymptotic behavior of the corre- sponding Fisher information are ...
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Parameter estimation for a model of
... Table 3 details these measures for each dataset and each model. In all cases, the bvt model gives the best fit, followed by the spt and Langmuir models, the latter providing the poorest fit for two of the three ...
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Parameter estimation of qubit states with unknown phase parameter
... classical estimation problem and it guarantees the equal- ity in (46), that is, the bounds become same regardless whether there are nuisance parameters or ...quantum parameter estimation ...
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Handling Multiword Expressions in Causality Estimation
... multiword expressions, we randomly extracted 50 multiword expressions identified by the system from the development ...multiword expressions, we manually crafted the list of multiword ...
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Adaptive Smoothing Parameter in Kernel Density Estimation and Parameter Estimation in Normal Mixture Distributions
... density estimation to the best smoothing ...density estimation has become an integral part of nonparametric functional estimation procedures in statistics, where a density function is found from the ...
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Applying PEST (Parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models
... ‘preferred’ parameter values has forced the modellers to more critically review the existing data and knowledge pertaining to the system being ...about parameter sensitivity in a way that was previously ...
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Gravitational parameter estimation in a waveguide
... We investigate the intrinsic uncertainty in the accuracy to which a static spacetime can be mea- sured from scattering experiments. In particular, we focus on the Schwarzschild black hole and a spatially kinked metric ...
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Parameter estimation for dynamical systems
... unique parameter matrix A that solves the inverse ...of analytical and numerical estimates of the maximum uncertainty in the data under which the properties of the inverse problem are certain to be ...
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Parameter Estimation for LDA Frames
... 3.1 Number of Semantic Roles In the original version of the LDA-frames model, the latent variables r f,s , representing semantic role assignment for slot s in frame f, are chosen from a fixed set of semantic roles ...
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Parameter estimation for text analysis
... Bayesian parameter esti- mation in the discrete domain, which is necessary to understand the inner workings of topic-based text analysis approaches like probabilistic latent semantic analysis (PLSA) [Hofm99], ...
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On parameter estimation with the Wasserstein distance
... F IG . 1: Estimators in the well-specified g-and-κ model, as described in Section 4.1.1 . Figures 1a and 1b show the MEWE’s bivariate marginal sampling distributions for (a, b) and (g, κ) respectively, as n ranges from ...
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Accelerated Parameter Estimation with DALEX
... undiscovered parameter space volumes with χ 2 ≤ χ 2 lim , DALEχ has not ...in parameter space have already been ...of parameter space points { ~ P } and finding an approximately minimal D-dimensional ...
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Parameter Estimation of Exciation Systems
... For the simulation part, the AC1A excitation system model and AC8B excitation system model have been implemented in MALTAB/Simulink, based on the IEEE standard 421.5, which is updated in 2005. On the other hand, for the ...
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Recursive parameter estimation for semimartingales
... The kernel function and convolution-smoothing methods developed to estimate a probability density function and distribution are essen- tially a way of smoothing the empirical distributio[r] ...
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Bayesian estimation for the multifractality parameter
... rate estimation of multifractal parameters is very challenging in sit- uations where the sample size is small (notably including a range of biomedical applications) and currently available estimators need to be ...
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Parameter Estimation for Weibull Distribution
... two- parameter exponen- tial when c = 1, two-parameter Rayleigh’s when c = 2, ...their estimation was analysed in five methods: moment estimation, modified moment estimation, maximum ...
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Curve Fitting and Parameter Estimation
... 1.5 Parameter Estimation Directly from Differential Equations In modeling a new phenomenon, we often find that we can write down a differential equation that models the phenomenon, but we cannot solve the ...
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Abduction as Incomplete Parameter Estimation
... In the present paper, inheriting the Sawa-Gunji’s representation, we formalize a numerical as- pect of abduction and find “incomplete” parameter estimation as a sort of “simulated abduction”. ...
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Estimation of a common location parameter
... The estimation of the common location parameter in type II censored distributions was first discussed by Jin and Elfessi ...scale parameter of type II censored Pareto distributions has been given, ...
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Bayesian Estimation of the Binomial Parameter
... (Asymptotic expansions of factorials can however be used if desired to evaluate posterior distributions approximately and, for samples where truncation of the poste[r] ...
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