Results 1 to 10 of about 69 (64)
Parameter Estimation of ODE’s via Nonparametric Estimators
Electronic Journal of Statistics, 2008 Published in at http://dx.doi.org/10.1214/07-EJS132 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Nicolas Brunel
exaly +5 more sources
Nonparametric Estimation [PDF]
, 2011 info:eu-repo/semantics ...
Jansen, Maarten, Claeskens, G.
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On nonparametric spectral estimation [PDF]
Circuits Systems and Signal Processing, 1999 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Tomas Sundin, Petre Stoica
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Nonparametric Score Estimators
CoRR, 2020 Estimating the score, i.e., the gradient of log density function, from a set of samples generated by an unknown distribution is a fundamental task in inference and learning of probabilistic models that involve flexible yet intractable densities. Kernel estimators based on Stein's methods or score matching have shown promise, however their theoretical ...
Yuhao Zhou, Jiaxin Shi, Jun Zhu 0001
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NONPARAMETRIC ESTIMATION WITH AGGREGATED DATA [PDF]
Econometric Theory, 2002 We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intrafamily component but require that observations from different families be independent. We establish consistency and asymptotic normality for our procedures.
Oliver Linton, Yoon-Jae Whang
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Nonparametric instrumental variable estimation [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2018 In this article, we introduce the commands npiv and npivcv, which implement nonparametric instrumental-variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands can impose the constraint that the resulting estimated function is monotone.
Denis Chetverikov +2 more
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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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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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