Results 251 to 260 of about 281,081 (285)

Nonparametric Regression and Classification Part I—Nonparametric Regression

1994
In classical statistics, regression means linear regression. Recently, more flexible regression tools have been developed, that exploit the dramatic increase in computing power and speed. In this paper we describe some of these developments. The main background reference is Hastie and Tibshirani (1990).
T. J. Hastie, R. J. Tibshirani
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Introduction to Nonparametric Regression

Technometrics, 2006
openaire   +1 more source

Multi-output Nonparametric Regression

2005
Several non-parametric regression methods with various dependent variables that are possibly related are explored. The techniques which produce the best results in the simulations are those which incorporate the observations of the other response variables in the estimator.
openaire   +1 more source

Nonparametric Regression

2021
openaire   +1 more source

Nonparametric Regression

2001
  +4 more sources

Robust nonparametric regression: A review

Wiley Interdisciplinary Reviews: Computational Statistics, 2020
Pavel Cizek
exaly  

Nonparametric Regression

2019
Silvelyn Zwanzig, Behrang Mahjani
openaire   +1 more source

Nonparametric Estimation of an Additive Quantile Regression Model

Journal of the American Statistical Association, 2005
Sokbae Lee
exaly  

Nonparametric fuzzy regression—k-NN and kernel smoothing techniques

Computers and Mathematics With Applications, 1999
Chi-Bin Cheng
exaly  

Nonparametric Regression

2014
Robert E. Kass, Uri T. Eden, Emery N. Brown   +2 more
openaire   +1 more source