Results 21 to 30 of about 1,961,829 (179)
An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models [PDF]
, 2017 The recent direct observation of gravitational waves has further emphasized the desire for fast, low-cost, and accurate methods to infer the parameters of gravitational wave sources.
Blackman, Jonathan +2 more
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Parameter Estimation in Stable Law
Risks, 2016 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
doaj +1 more source
Novel parameter estimation schemes in microsystems [PDF]
, 2009 This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological structures in micromanipulation tasks.
Baran, Eray Abdurrahman +7 more
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Adaptive finite-time parameter estimation for grid-connected converter with LCL filter
Frontiers in Energy Research, 2022 This study proposes an online finite-time adaptive parameter estimation method for grid-connected voltage source inverter (VSI) with LCL filter. In this framework, a time-continuous state-space system model is first developed, which is different from the
Xinze Xi +6 more
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Parameter estimation in stochastic differential equations [PDF]
, 2010 Financial processes as processes in nature, are subject to stochastic fluctuations. Stochastic differential equations turn out to be an advantageous representation of such noisy, real-world problems, and together with their identification, they play an ...
Abd.Rahman, Haliza +3 more
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Prepaid parameter estimation without likelihoods.
PLoS Computational Biology, 2019 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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CMB component separation by parameter estimation [PDF]
, 2005 We propose a solution to the CMB component separation problem based on standard parameter estimation techniques. We assume a parametric spectral model for each signal component, and fit the corresponding parameters pixel by pixel in a two-stage process ...
A. J. Banday +19 more
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Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Entropy, 2021 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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Shape Parameter Estimation [PDF]
, 2017 Performance of machine learning approaches depends strongly on the choice of misfit penalty, and correct choice of penalty parameters, such as the threshold of the Huber function.
Aravkin, Aleksandr Y. +2 more
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Abduction as Incomplete Parameter Estimation
tripleC: Communication, Capitalism & Critique, 2011 Abduction is a kind of logical inference, and has been studied in computer science and artificial intelligence (Fin- lay and Dix 1996). Recently, Sawa and Gunji (2010) introduced a diagram to represent three types of inference: i.e.
Moto Kamiura
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