Results 31 to 40 of about 607,794 (304)

Empirical-Likelihood-Based Inference for Partially Linear Models

open access: yesMathematics
Partially 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
doaj   +1 more source

Pointwise universal consistency of nonparametric linear estimators [PDF]

open access: yes, 2004
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators.
Vidal-Sanz, Jose M.
core   +1 more source

Adversarial Robustness of Nonparametric Regression

open access: yesCoRR
25 pages, 6 ...
Parsa Moradi   +2 more
openaire   +3 more sources

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Nonparametric Estimation of Uncertainty Sets for Robust Optimization [PDF]

open access: yes2020 59th IEEE Conference on Decision and Control (CDC), 2020
We investigate a data-driven approach to constructing uncertainty sets for robust optimization problems, where the uncertain problem parameters are modeled as random variables whose joint probability distribution is not known. Relying only on independent samples drawn from this distribution, we provide a nonparametric method to estimate uncertainty ...
Polina Alexeenko, Eilyan Bitar
openaire   +3 more sources

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao   +5 more
wiley   +1 more source

Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The parametric constant false alarm rate (CFAR) detection algorithms, which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, $G^{0}$, and alpha-stable distribution, are most widely used to detect the ship ...
Xiangwei Meng
doaj   +1 more source

Design and application of a robust multivariate control chart for gas PE pipe production [PDF]

open access: yesMATEC Web of Conferences
In 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
doaj   +1 more source

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias   +3 more
wiley   +1 more source

Robustness Study of Unit Elasticity of Intertemporal Substitution Assumption and Preference Misspecification

open access: yesMathematics
This paper proposes a novel robustness framework for studying the unit elasticity of intertemporal substitution (EIS) assumption based on the Perron-Frobenius sieve estimation model by Christensen, 2017. The sieve nonparametric decomposition is a central
Huarui Jing
doaj   +1 more source

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