Results 271 to 280 of about 2,509,073 (310)

Robust nonparametric derivative estimator

Communications in Statistics - Simulation and Computation, 2020
In this paper, a robust nonparametric derivative estimator is proposed to estimate the derivative function of nonparametric regression when the data contain noise and have curves.
Hamdy F. F. Mahmoud, Byung-Jun Kim, Inyoung Kim   +2 more
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Robust Nonparametric Methods

Journal of the American Statistical Association, 2000
(2000). Robust Nonparametric Methods. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1308-1312.
Thomas P. Hettmansperger, Joseph W. McKean, Simon J. Sheather   +2 more
openaire   +1 more source

Statistical nonparametric mapping: Multivariate permutation tests for location, correlation, and regression problems in neuroimaging

WIREs Computational Statistics, 2019
Nonparametric statistical inference via permutation testing is on the rise in neuroimaging research. This rise in popularity is likely in response to recent studies that have demonstrated limitations of parametric inference in certain situations ...
Nathaniel E. Helwig
semanticscholar   +1 more source

Robust nonparametric estimation for functional data

Journal of Nonparametric Statistics, 2008
Robust estimation provides an alternative approach to classical methods, for instance, when the data are affected by the presence of outliers.
Christophe Crambes, Laurent Delsol, Ali Laksaci   +2 more
openaire   +1 more source

Robust Bayesian Nonparametric Regression

1996
We discuss a Bayesian approach to nonparametric regression which is robust against outliers and discontinuities in the underlying function. Our approach uses Markov chain Monte Carlo methods to perform a Bayesian analysis of conditionally Gaussian state space models.
C. K. Carter, R. Kohn
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Robust nonparametric kernel regression estimator

Statistics & Probability Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Ge, Ma, Yanyuan
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Robust Nonparametric Regression for Heavy-Tailed Data

Journal of Agricultural, Biological and Environmental Statistics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferdos Gorji, Mina Aminghafari
openaire   +2 more sources

Nonparametric Statistical Methods Using R

, 2014
Getting Started with R R Basics Reading External Data Generating Random Data Graphics Repeating Tasks User-Defined Functions Monte Carlo Simulation R Packages Basic Statistics Sign Test Signed-Rank Wilcoxon Bootstrap Robustness One- and Two-Sample ...
John D. Kloke, J. McKean
semanticscholar   +1 more source

Nonparametric Bayesian robustness [PDF]

, 2010
A new, nonparametric, approach to Bayesian robustness is presented. Whereas many studies in Bayesian robustness have dealt with a parametric sampling distribution, considering classes of prior distributions on the parameters, here we assume that the sampling distribution comes from a Dirichlet process with a parameter = , with > 0 and being a ...
openaire  

Nonparametric and robust methods in econometrics

Journal of Econometrics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luiz Renato Lima, Marcelo Moreira, Jack Porter, Zhijie Xiao   +3 more
openaire   +1 more source