Results 31 to 40 of about 2,509,073 (310)
Robust nonparametric regression estimation
Journal of Multivariate Analysis, 1989 Following \textit{P. J. Huber}'s [Ann. Math. Statistics 35, 73-101 (1964; Zbl 0136.398)] proposal for location, the authors define a robust conditional location functional in order to obtain from it robust and nonparametric estimators of the conditional expectation. The functional is defined without requiring any moment condition.
Boente, Graciela, Fraiman, Ricardo
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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 +3 more
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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 +3 more
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Robust multivariate nonparametric tests via projection averaging [PDF]
The Annals of Statistics, 2020 In this work, we generalize the Cramér-von Mises statistic via projection-averaging to obtain a robust test for the multivariate two-sample problem. The proposed test is consistent against all fixed alternatives, robust to heavy-tailed data and minimax rate optimal against a certain class of alternatives. Our test statistic is completely free of tuning
Kim, Ilmun +2 more
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On the existence of solutions to adversarial training in multiclass classification
European Journal of Applied MathematicsAdversarial 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 +2 more
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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 +2 more
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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
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IEEE Journal of Translational Engineering in Health and Medicine, 2023 Background and objective: Significant variability in the quality of healthcare supplied by hospitals is drawing broad attention from the United States Centers for Medicare and Medicaid Services. The primary issue is to evaluate hospital performance based
Yakun Liang, Xuejun Jiang, Bo Zhang
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Empirical-Likelihood-Based Inference for Partially Linear Models
MathematicsPartially linear models find extensive application in biometrics, econometrics, social sciences, and various other fields due to their versatility in accommodating both parametric and nonparametric elements.
Haiyan Su, Linlin Chen
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Design and application of a robust multivariate control chart for gas PE pipe production [PDF]
MATEC Web of ConferencesIn the production of gas polyethylene (PE) pipelines, quality characteristics such as ovality, outer diameter, and wall thickness often exhibit unknown distributions and complex inter-variable correlations. Traditional parametric control charts are prone
Ye Fan +6 more
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