Results 21 to 30 of about 117,399 (299)
Nonparametric Regression via StatLSSVM
Journal of Statistical Software, 2013 We present a new MATLAB toolbox under Windows and Linux for nonparametric regression estimation based on the statistical library for least squares support vector machines (StatLSSVM).
Kris De Brabanter +2 more
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Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
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Tests for Independence in Nonparametric Regression [PDF]
SSRN Electronic Journal, 2006 Consider the nonparametric regression model Y = m(X)+e, where the function m is smooth, but unknown.We construct tests for the independence of e and X, based on n independent copies of (X; Y ).The testing procedures are based on differences of neighboring Y 's.We establish asymptotic results for the proposed tests statistics, investigate their finite ...
Einmahl, J.H.J., Keilegom, I. van
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Bayesian nonparametric monotone regression
Environmetrics, 2020 AbstractIn many applications there is interest in estimating the relation between a predictor and an outcome when the relation is known to be monotone or otherwise constrained due to the physical processes involved. We consider one such application‐inferring time‐resolved aerosol concentration from a low‐cost differential pressure sensor. The objective
Ander Wilson +3 more
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Nonparametric Tests for Shifts in Nonlinear Regression [PDF]
The Egyptian Statistical Journal, 2003 We propose nonparametric test statistics for the at most one change point (AMOC) problem in the regression function of a nonlinear regression model.
Abd-Elnaser Abd-Rabou
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Nonparametric Regression Estimation for Circular Data
Proceedings, 2019 Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature.
Andrea Meilán-Vila +3 more
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Minimally Biased Nonparametric Regression and Autoregression
Revstat Statistical Journal, 2008 A nonparametric regression estimator is introduced which adapts to the smoothness of the unknown function being estimated. This property allows the new estimator to automatically achieve minimal bias over a large class of locally smooth functions ...
Timothy L. McMurry +1 more
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Universal Local Linear Kernel Estimators in Nonparametric Regression
Mathematics, 2022 New local linear estimators are proposed for a wide class of nonparametric regression models. The estimators are uniformly consistent regardless of satisfying traditional conditions of dependence of design elements.
Yuliana Linke +5 more
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Optimal designs for testing the functional form of a regression via nonparametric estimation techniques [PDF]
, 2000 For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design assumption we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the ...
Stefanie Biedermann +3 more
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Local Linear Regression Estimator on the Boundary Correction in Nonparametric Regression Estimation
Journal of Statistical Theory and Applications (JSTA), 2020 The precision and accuracy of any estimation can inform one whether to use or not to use the estimated values. It is the crux of the matter to many if not all statisticians.
Langat Reuben Cheruiyot
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