Results 11 to 20 of about 19,319 (259)
Entropy, 2008 At the heart of many ICA techniques is a nonparametric estimate of an information measure, usually via nonparametric density estimation, for example, kernel density estimation.
Julian Sorensen
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Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
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Robust Localization Method Based on Non-Parametric Probability Density Estimation
IEEE Access, 2023 This paper presents robust localization techniques that calculate location using distance observations. In enclosed and heavily populated urban environments, the positive measurement bias introduced by a non-line-of-sight signal can have a considerable ...
Chee-Hyun Park, Joon-Hyuk Chang
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Nonparametric volatility density estimation
Bernoulli, 2003 We consider two kinds of stochastic volatility models. Both kinds of models contain a stationary volatility process, the density of which, at a fixed instant in time, we aim to estimate. We discuss discrete time models where for instance a log price process is modeled as the product of a volatility process and i.i.d. noise.
van Es, A.J. +2 more
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Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors
Econometrics, 2016 This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression model with continuous and discrete regressors under an unknown error density.
Xibin Zhang +2 more
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Nonparametric Density Estimation with a Parametric Start
The Annals of Statistics, 1995 31 pages, no figures. This is the original publication for the Hjort-Glad density estimator, Statistical Research Report, Department of Mathematics, University of Oslo, January 1994, with more material than for the published article Annals of Statistics, 1995, vol.
Hjort, Nils Lid, Glad, Ingrid K.
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NPCirc: An R Package for Nonparametric Circular Methods
Journal of Statistical Software, 2014 Nonparametric density and regression estimation methods for circular data are included in the R package NPCirc. Specifically, a circular kernel density estimation procedure is provided, jointly with different alternatives for choosing the smoothing ...
María Oliveira +2 more
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Research of comparative analysis of nonparametric density estimation by applying Monte Carlo method
Lietuvos Matematikos Rinkinys, 2013 This paper presents nonparametric statistical estimation of distribution density. The Monte Carlo method is used to show the effects of kernel function for multimodal kernel density estimation.
Indrė Drulytė, Tomas Ruzgas
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Improving for Network Traffic Bayes Classification Method Based on Correlation Information [PDF]
Jisuanji gongcheng, 2016 With the rapid growth of network applications,the efficiency of traditional network traffic classification method based on ports and payloads is reduced greatly.Meanwhile,most traffic flow classification methods do not consider the correlation among the ...
ZHAO Ying,TAN Yang
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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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