Results 31 to 40 of about 2,562,360 (318)

Local kernel nonparametric discriminant analysis for adaptive extraction of complex structures

Open Physics, 2017
The linear discriminant analysis (LDA) is one of popular means for linear feature extraction. It usually performs well when the global data structure is consistent with the local data structure.
Li Quanbao, Wei Fajie, Zhou Shenghan
doaj   +1 more source

Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments

BMC Bioinformatics, 2005
Background Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups.
Song Peter XK, Gao Xin
doaj   +1 more source

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures [PDF]

Computer Vision and Pattern Recognition, 2016
Point cloud alignment is a common problem in computer vision and robotics, with applications ranging from 3D object recognition to reconstruction. We propose a novel approach to the alignment problem that utilizes Bayesian nonparametrics to describe the ...
Julian Straub, Trevor Campbell, J. How, John W. Fisher III   +3 more
semanticscholar   +1 more source

Doubly robust nonparametric inference on the average treatment effect

Biometrika, 2017
Summary Doubly robust estimators are widely used to draw inference about the average effect of a treatment. Such estimators are consistent for the effect of interest if either one of two nuisance parameters is consistently estimated. However, if flexible,
David C. Benkeser, Marco Carone, M. J. Laan, Peter B Gilbert   +3 more
semanticscholar   +1 more source

Stacked survival models for residual lifetime data

BMC Medical Research Methodology, 2022
When modelling the survival distribution of a disease for which the symptomatic progression of the associated condition is insidious, it is not always clear how to measure the failure/censoring times from some true date of disease onset.
James H. McVittie, David B. Wolfson, Vittorio Addona, Zhaoheng Li   +3 more
doaj   +1 more source

Spatial Sign Correlation [PDF]

, 2014
A new robust correlation estimator based on the spatial sign covariance matrix (SSCM) is proposed. We derive its asymptotic distribution and influence function at elliptical distributions.
Dürre, Alexander, Fried, Roland, Vogel, Daniel   +2 more
core   +3 more sources

Robustness in Bayesian nonparametrics

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

On the existence of solutions to adversarial training in multiclass classification

European Journal of Applied Mathematics
Adversarial training is a min-max optimization problem that is designed to construct robust classifiers against adversarial perturbations of data. We study three models of adversarial training in the multiclass agnostic-classifier setting.
Nicolás García Trillos, Matt Jacobs, Jakwang Kim   +2 more
doaj   +1 more source

The Local Linear M-Estimation with Missing Response Data

Journal of Applied Mathematics, 2014
This paper studies the nonparametric regressive function with missing response data. Three local linear M-estimators with the robustness of local linear regression smoothers are presented such that they have the same asymptotic normality and consistency.
Shuanghua Luo, Cheng-Yi Zhang, Fengmin Xu   +2 more
doaj   +1 more source

Robust estimation for varying coefficient partially functional linear regression models based on exponential squared loss function

Open Mathematics, 2022
In this article, we present a new robust estimation procedure based on the exponential squared loss function for varying coefficient partially functional linear regression models, where the slope function and nonparametric coefficients are approximated ...
Sun Jun, Liu Wanrong
doaj   +1 more source