Results of the material parameter estimation process
Robust parameter estimation for the Ornstein-Uhlenbeck process
... all parameter components bounded ICs. Concerning the parameter estimation, we have carried out a One-Step construction based on the optimal IC and compared this One-Step estimator with MoM, MLE, and ...
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UAV Parameter Estimation with Gaussian Process Approximations
... Gaussian process modeling of the flight ...identification process. Lastly, the flight testing procedure for parameter identification is elaborated and model validation is performed in a comprehensive ...
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Approximation results for parameter estimation in non-linear elastomers
... in material and geometric properties so that there is a nonlinear relationship between stress and strain even for small ...general parameter estimation ...
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Regular Subsampling Process Assessment Based on Parameter Estimation
... Since the theory of chaos was introduced in cryptography, the use of chaotic dynamical systems to secure communications has been widely investigated, particularly to generate chaotic pseudorandom numbers as cipher-keys. ...
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Gravitational waves: search results, data analysis and parameter estimation
... seven-dimensional parameter space, can be mapped to the two-dimensional subspace of non- precessing binaries, character- ized by the mass ratio and a single effective total ...with parameter biases in the ...
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Parameter estimation by contrast minimization for noisy observations of a diffusion process
... the estimation of unknown parameters in the drift and diffusion coefficients of a one-dimensional ergodic diffusion X when the observation Y is a discrete sampling of X with an additive noise, at times iδ, i = 1 ...
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Parameter estimation for the drift of a time-inhomogeneous jump diffusion process
... processes, parameter estimators that are based on the observation of the entire time-continuous path are natural objects to study: These estimators have often a closed-form representation in terms of stochastic ...
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Mathematical modelling of baculovirus infection process: Kinetic parameter estimation
... simulated results also indicate that the day to day variability in cell growth and cell viability profile can be explained through the variation in the specific growth rate and the death ...
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Parameter estimation of Ornstein-Uhlenbeck process generating a stochastic graph
... In this part, we consider that X or Y is degenerate (or both). We know there are or- thonormal matrices O X and O Y such that O X X and O Y Y both have diagonal covariances. These diagonals can have zero values; taking ...
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Material parameter estimation and hypothesis testing on a 1D viscoelastic stenosis model: Methodology
... estimating material parame- ters and created a model comparison test as a basis for distinguishing between data that comes from a normal or from a stenosed blood ...the estimation procedure ...tude ...
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Parameter estimation for Ornstein–Uhlenbeck processes driven by fractional Lévy process
... -norm estimation; Consistency; Limit distribution; Asymptotic law 1 Introduction Statistical inference for stochastic equations is a main research direction in probability theory and its ...parametric ...
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HESS Opinions: Advocating process modeling and de emphasizing parameter estimation
... the process of model development, calibration seems un- avoidable (Beven, 2001; Montanari and Toth, 2007; Hra- chowitz et ...sible parameter values (that would be impossible to attempt manually), and can ...
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Numerical study of the evaporation process and parameter estimation analysis of an evaporation experiment
... important process in soil- atmosphere ...the estimation of hydraulic properties in the dry ...Best parameter estimates are obtained if the evap- oration flux and a potential measurement in 2 cm depth ...
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Estimation of Spectral Exponent Parameter of Process in Additive White Background Noise
... The performance of this approach is examined by simu- lations in the next section below. 3. SIMULATION RESULTS In this section, the performance of the proposed technique is examined on synthetic data. The data set ...
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Contrast function estimation for the drift parameter of ergodic jump diffusion process
... diffusion process with jumps whose drift coefficient depends on an unknown ...the process is discretely ...observed process to have non summable jumps. This extends earlier results where the ...
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Parameter estimation for a model of
... initial parameter estimates, and was then used to estimate ρ(t) in ...obtain parameter estimates that minimise ...similar results. The results reported in this article were all obtained by ...
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PARALIND-based identifiability results for parameter estimation via uniform linear array
... of parameter estimation in the presence of incoherent multipath via uniform linear array ...identifiability results are derived based on the uniqueness property of PARALIND model and structure ...
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Supplemental Material for Cell size distribution of lineage data: analytic results and parameter inference
... Since the Fourier transform and inverse Fourier transform are inverses of each other, taking the Fourier transform of the characteristic function G(λ) yields the probability density p(x)[r] ...
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Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation
... ] results in an algorithm that can be run in a cluster of cores, if ...Gaussian process, the resulting emulator is built taking into account both a probabilistic and computationally efficient ...Gaussian ...
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Log-Periodogram estimation of the memory parameter of a long-memory process under trend
... Fachbereich Statistik, Universit¨ at Dortmund, D-44221 Dortmund, Germany Version August 2001 Abstract We show that small trends do not influence log-periodogram based estimators for the memory parameter in a ...
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