Results 11 to 20 of about 67,030 (311)
Nonparametric Pointwise Estimation for a Regression Model with Multiplicative Noise
Journal of Function Spaces, 2021 In this paper, we consider a general nonparametric regression estimation model with the feature of having multiplicative noise. We propose a linear estimator and nonlinear estimator by wavelet method.
Jia Chen, Junke Kou
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NONPARAMETRIC ESTIMATION OF HOMOGENEOUS FUNCTIONS [PDF]
Econometric Theory, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tripathi, Gautam, Kim, Woocheol
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A Nonparametric Estimator of Species Overlap [PDF]
Biometrics, 2001 For two communities, species overlap has been defined by Smith, Solow, and Preston (1996, Biometrics 52, 1472-1477) as the probability that a randomly selected species is present in both communities given that it is present in at least one community. Species overlap can thus be used to describe the similarity of two communities.
Yue, Jack C. +2 more
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A Bayesian nonparametric estimation to entropy [PDF]
Brazilian Journal of Probability and Statistics, 2021 A Bayesian nonparametric estimator to entropy is proposed. The derivation of the new estimator relies on using the Dirichlet process and adapting the well-known frequentist estimators of Vasicek (1976) and Ebrahimi, Pflughoeft and Soofi (1994). Several theoretical properties, such as consistency, of the proposed estimator are obtained.
Al-Labadi, Luai +3 more
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almutveraart/Nonparametric-trawl-estimation: First release
, 2022 First public release of the code of the empirical study of the preprint Sauri and Veraart (2022), "Nonparametric estimation of trawl processes: Theory and Applications"
Almut Veraart
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Regularization of nonparametric frontier estimators [PDF]
Journal of Econometrics, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daouia, Abdelaati +2 more
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Nonparametric Mean Estimation for Big-but-Biased Data
Proceedings, 2018 Some authors have recently warned about the risks of the sentence with enough data, the numbers speak for themselves. The problem of nonparametric statistical inference in big data under the presence of sampling bias is considered in this work.
Laura Borrajo, Ricardo Cao
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High throughput nonparametric probability density estimation. [PDF]
PLoS ONE, 2018 In high throughput applications, such as those found in bioinformatics and finance, it is important to determine accurate probability distribution functions despite only minimal information about data characteristics, and without using human subjectivity.
Jenny Farmer, Donald Jacobs
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Bayesian nonparametric subspace estimation [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 Principal component analysis is a widely used technique to perform dimension reduction. However, selecting a finite number of significant components is essential and remains a crucial issue. Only few attempts have proposed a probabilistic approach to adaptively select this number. This paper introduces a Bayesian nonparametric model to jointly estimate
Elvira, Clément +2 more
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Mathematics, 2023 For nonparametric regression estimation, conventional research all focus on isotropic regression function. In this paper, a linear wavelet estimator of anisotropic regression function is constructed, the rate of convergence of this estimator is discussed
Jia Chen, Junke Kou
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