Results 21 to 30 of about 2,351,578 (288)
An Enhanced Non-Coherent Pre-Filter Design for Tracking Error Estimation in GNSS Receivers
Sensors, 2017 Tracking error estimation is of great importance in global navigation satellite system (GNSS) receivers. Any inaccurate estimation for tracking error will decrease the signal tracking ability of signal tracking loops and the accuracies of position fixing,
Zhibin Luo +3 more
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Robust Relative Error Estimation [PDF]
Entropy, 2018 Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers. To address this issue, we employ the γ -likelihood function, which is constructed through γ -cross entropy with keeping the original statistical model in use. The
Kei Hirose, Hiroki Masuda
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Accurate error estimation in CG [PDF]
Numerical Algorithms, 2021 In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear algebraic equations $Ax=b$ with a real symmetric positive definite matrix $A$. During the iterations it is important to monitor the quality of the approximate solution $x_k$ so that the process could be stopped
Gérard Meurant, Jan Papez, Petr Tichý
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Local observers on linear Lie groups with linear estimation error dynamics [PDF]
, 2013 This paper proposes local exponential observers for systems on linear Lie groups. We study two different classes of systems. In the first class, the full state of the system evolves on a linear Lie group and is available for measurement.
Koldychev, Mikhail, Nielsen, Christopher
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Estimation error of the constrained lasso [PDF]
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016 This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (n ≪ p) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse (e.g., when it is weakly sparse), and shows explicitly the effect of ...
Nissim Zerbib +3 more
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Resampling Plans and the Estimation of Prediction Error
Stats, 2021 This article was prepared for the Special Issue on Resampling methods for statistical inference of the 2020s. Modern algorithms such as random forests and deep learning are automatic machines for producing prediction rules from training data.
Bradley Efron
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ROTATION PARAMETER ESTIMATION ERROR OF DEFLECTOMETER BASIC UNIT [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2019 Subject of Research. The paper proposes a method for determining the rotation parameters of the basic unit of an opticalelectronic deflectometer, having an effect on the deflection measurement error of large-scale objects such as a floating dock ...
Hoang Anh Phuong +3 more
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IEEE Access, 2023 The English grammatical error correction system is suitable for the English learning environment, with the goal of accurately correcting errors in learners’ writing.
Chen Zhang, Tongjie Xu, Guangli Wu
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Efficient Estimation of Approximate Factor Models via Regularized Maximum Likelihood [PDF]
, 2012 We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis (PCA) does not efficiently estimate the factor ...
Bai, Jushan, Liao, Yuan
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, 2014 The aim of this paper is to extend the global error estimation and control addressed in Lang and Verwer [SIAM J. Sci. Comput. 29, 2007] for initial value problems to finite difference solutions of semilinear parabolic partial differential equations.
Berzins +15 more
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