Results 31 to 40 of about 3,309,859 (289)
Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
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Parameter Estimation Strategies in Thermodynamics
Many thermodynamic models used in practice are at least partially empirical and thus require the determination of certain parameters using experimental data.
Johannes Höller +9 more
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Robust estimation of the Hurst parameter and selection of an onset scaling. [PDF]
We consider the problem of estimating the Hurst parameter for long-range dependent processes using wavelets. Wavelet techniques have been shown to effectively exploit the asymptotic linear relationship that forms the basis of constructing an estimator ...
Park, Cheolwoo, Park, Juhyun
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Parameter Estimation in Stable Law
For general stable distribution, cumulant function based parameter estimators are proposed. Extensive simulation experiments are carried out to validate the effectiveness of the estimates over the entire parameter space.
Annika Krutto
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Prepaid parameter estimation without likelihoods.
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to assess.
Merijn Mestdagh +4 more
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Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with ...
Z. Q. Zhu, Dawei Liang, Kan Liu
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Parameter estimation for the stochastic SIS epidemic model [PDF]
In this paper we estimate the parameters in the stochastic SIS epidemic model by using pseudo-maximum likelihood estimation (pseudo-MLE) and least squares estimation.
Greenhalgh, David +3 more
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A Clutter Parameter Estimation Method Based on Origin Moment Derivation
Parameter estimation is significant to prediction and estimation in the field of radar clutter characteristics. Therefore, it is necessary to study the problem of parameter estimation.
Liru Yang +4 more
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Estimating the Parameters of a Convolution
Summary Parametric estimation problems are considered when one observes a random variable which is the sum of two independent non-identically distributed random variables. Some basic identifiability theorems are given which suggest the method of moments as a general method for attacking such problems, particularly when one of the summand
Sclove, S. L., van Ryzin, J.
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Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile wireless positioning has recently received great attention. For mobile wireless communication networks, an inherently suitable approach is to obtain
Li, Wei
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