Results 11 to 20 of about 281,031 (247)

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, Igor Borisov, Pavel Ruzankin, Vladimir Kutsenko, Elena Yarovaya, Svetlana Shalnova   +5 more
doaj   +1 more source

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, Johan Suykens, Bart De Moor   +2 more
doaj   +1 more source

Nonparametric regression analysis [PDF]

, 2015
textNonparametric regression uses nonparametric and flexible methods in analyzing complex data with unknown regression relationships by imposing minimum assumptions on the regression function.
Malloy, Shuling Guo
core   +1 more source

Nonparametric Regression with Common Shocks

Econometrics, 2016
This paper considers a nonparametric regression model for cross-sectional data in the presence of common shocks. Common shocks are allowed to be very general in nature; they do not need to be finite dimensional with a known (small) number of factors.
Eduardo A. Souza-Rodrigues
doaj   +1 more source

Nonparametric Regression Based on Discretely Sampled Curves

Revstat Statistical Journal, 2020
In the context of nonparametric regression, we study conditions under which the consistency (and rates of convergence) of estimators built from discretely sampled curves can be derived from the consistency of estimators based on the unobserved whole ...
Liliana Forzani , Ricardo Fraiman , Pamela Llop   +2 more
doaj   +1 more source

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, Mario Francisco-Fernández, Rosa M. Crujeiras, Agnese Panzera   +3 more
doaj   +1 more source

Locally Adaptive Nonparametric Binary Regression [PDF]

, 2007
A nonparametric and locally adaptive Bayesian estimator is proposed for estimating a binary regression. Flexibility is obtained by modeling the binary regression as a mixture of probit regressions with the argument of each probit regression having a thin
Cottet, Remy, Jiang, Wenxin, Kohn, Robert, Tanner, Martin, Wood, Sally   +4 more
core   +2 more sources

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 , Dimitris N. Politis   +1 more
doaj   +1 more source

Nonparametric regression in exponential families [PDF]

, 2010
Most results in nonparametric regression theory are developed only for the case of additive noise. In such a setting many smoothing techniques including wavelet thresholding methods have been developed and shown to be highly adaptive.
Brown, Lawrence D., Cai, T. Tony, Zhou, Harrison H.   +2 more
core   +4 more sources

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
doaj   +1 more source