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Parameter Estimation

A Comparison of Algorithms for Maximum Entropy Parameter Estimation

A Comparison of Algorithms for Maximum Entropy Parameter Estimation

... Finally, it should be noted that in the current im- plementation, we have not applied any of the possi- ble optimizations that appear in the literature (Laf- ferty and Suhm, 1996; Wu and Khudanpur, 2000; Lafferty et al., ...

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Parameter Estimation in Different Enzyme Reactions

Parameter Estimation in Different Enzyme Reactions

... Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non- linear regression technique. The MATLAB script file written to implement this technique is short and very straightforward. ...

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Parameter estimation techniques for a polarization hysteresis model

Parameter estimation techniques for a polarization hysteresis model

... This paper focuses on the development of parameter estimation techniques for models quantifying hysteresis and constitutive nonlinearities in ferroelectric materials. These models are formulated as integral ...

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Parameter Estimation in Distributed Systems: Optimal Design

Parameter Estimation in Distributed Systems: Optimal Design

... Usual discussions of inverse problems in the presence of uncertainty have been in the context of a given set or sets of data carried out under various assumptions on how (e.g., independent sampling, absolute measurement ...

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Identification And Parameter Estimation Of Multifunctional Prosthetic Hand

Identification And Parameter Estimation Of Multifunctional Prosthetic Hand

... In the name of Allah S.W.T the most merciful, Alhamdulillah, with His bless I manage to complete this research, entitled: “Identification and Parameter Estimation of Multifunctional Prosthetic Hand”. I ...

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Parameter estimation for the heat equation on perforated domains

Parameter estimation for the heat equation on perforated domains

... The estimation of γ is ill-posed for the parameter values, spatial nodes and temporal nodes in this ...OLS parameter estimation procedure does appear to affect the uncertainty associated with ...

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Parameter estimation for random differential equation models

Parameter estimation for random differential equation models

... the parameter estimation problem is different depending on which variables are assumed to be random variables and the choice of any assumed distribution for each random variable ...for parameter ...

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Parameter estimation and model fitting of stochastic processes

Parameter estimation and model fitting of stochastic processes

... Multiscale methods such as averaging and homogenization have become an in- creasingly interesting topic in stochastic time series modelling. When applying the av- eraged/homogenized processes to applications such as ...

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Sequential parameter estimation for stochastic systems

Sequential parameter estimation for stochastic systems

... the parameter estimation prob- lem when all but one of the members die at the resampling step while the lack of the noise in ...the parameter space with ...

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Parameter estimation for an allometric food web model

Parameter estimation for an allometric food web model

... data. These parameters generally describe important processes, and we need to verify whether or not they improve the mathematical model in the system under study. In future formulations of the inverse problem, we can ...

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On closure parameter estimation in chaotic systems

On closure parameter estimation in chaotic systems

... which is evaluated using the prior p(θ) and the likelihood p(y|θ). The likelihood function specifies how plausible the observed data are given model parameter values. Therefore, defining a proper likelihood ...

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Kinetic Parameter Estimation in Oscillatory Biochemical Systems.

Kinetic Parameter Estimation in Oscillatory Biochemical Systems.

... in parameter fitting problem of [62] may not be a suitable feature for parameter fitting of a non-circadian ...kinetic parameter estimation in oscillatory circadian rhythms ...for ...

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Parameter Estimation of Exciation Systems

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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Loss Minimization and Parameter Estimation with Heavy Tails

Loss Minimization and Parameter Estimation with Heavy Tails

... consider parameter estimation using L 1 - regularized linear least squares regression (Lasso) under random subgaussian ...approach, parameter estimation bounds can be guaranteed for general ...

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PARAMETER ESTIMATION USING AGGREGATE DATA

PARAMETER ESTIMATION USING AGGREGATE DATA

... The goal of this study is to determine how this type of aggregate data can be treated in order to learn more about CAR T therapy by performing parameter estimation using a least squares problem. First, we ...

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Efficient parameter estimation techniques for hysteresis models

Efficient parameter estimation techniques for hysteresis models

... The differing basis elements are created by adjusting the standard deviations in a manner similar to (17). These basis elements have physical interpretations and do not require constraints on the densities for decay that ...

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Abduction as Incomplete Parameter Estimation

Abduction as Incomplete Parameter Estimation

... However, abduction includes an intrinsic incompleteness, which means that abduction is for- mally equivalent to the logical fallacy affirming the consequent. In this point, abduction is different from conventional ...

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Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model

Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model

... In case of negative answer, one will not be able to estimate it except by some additional a priori knowledge: the model has to be reconsidered. There are three main approaches for studying identifiability of controlled ...

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Parameter estimation and uncertainty quantification for an epidemic model

Parameter estimation and uncertainty quantification for an epidemic model

... Our final sampling method investigated the impact of removing a single data point as a means of identifying the data points which provide the most information for the estimation of the parameters. A baseline data ...

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On parameter estimation and validation of dengue epidemic in Tanzania

On parameter estimation and validation of dengue epidemic in Tanzania

... likelihood estimation is used to determine the best fitting of the ...Tanzania. Parameter values were obtained from the different literatures like (Rodrigue et ...Other parameter values are estimated ...

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