Results 61 to 70 of about 501,333 (190)
HPV‐Adjusted Feature Screening With FDR Control in Head and Neck Cancer
Biometrical Journal, Volume 68, Issue 3, June 2026.ABSTRACT Human papillomavirus (HPV) is a well‐established prognostic factor in head and neck (HN) cancer, with HPV‐positive patients exhibiting markedly better survival outcomes compared to their HPV‐negative counterparts. While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying ...
Atika Farzana Urmi +2 more
wiley +1 more source
Nadaraya-Watson estimator for sensor fusion problems [PDF]
, 1996 The classical Nadaraya-Watson estimator is shown to solve a generic sensor fusion problem where the underlying sensor error densities are not known but a sample is available.
Rao, N.S.V.
core
Asymptotic normality of the Nadaraya–Watson estimator for nonstationary functional data and applications to telecommunications [PDF]
, 2023 We study a nonparametric regression model, where the explanatory variable is nonstationary dependent functional data and the response variable is scalar.
core +1 more source
Local transformations with a singular wavelet
Informatika, 2020 The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparametric approximation of a function is solved by the use of the sequence of local wavelet transforms.
V. M. Romanchak
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Nadaraya-Watson Estimator a Smoothing Technique for Estimating Regression Function
Journal of Economics and Administrative Sciences, 2012 The using of the parametric models and the subsequent estimation methods require the presence of many of the primary conditions to be met by those models to represent the population under study adequately, these prompting researchers to search for more flexible models of parametric models and these models were nonparametric models.
Dhafer Hussein Rashid +1 more
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On the Nadaraya–Watson kernel regression estimator for irregularly spaced spatial data
Journal of Statistical Planning and Inference, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
El Machkouri, Mohamed +2 more
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An oracle property of the Nadaraya–Watson kernel estimator for high‐dimensional nonparametric regression [PDF]
Scandinavian Journal of Statistics, 2018 AbstractThe Nadaraya–Watson estimator is among the most studied nonparametric regression methods. A classical result is that its convergence rate depends on the number of covariates and deteriorates quickly as the dimension grows. This underscores the “curse of dimensionality” and has limited its use in high‐dimensional settings. In this paper, however,
Daniel Conn, Gang Li
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Accelerating PREFUL MRI: Comparison of Registration Methods and Impact of Time Series Reduction
NMR in Biomedicine, Volume 39, Issue 5, May 2026.Retrospective shortening of the PREFUL MRI acquisition showed that most parameters remained strongly correlated (≥ 77%) and regionally concordant (overlap ≥ 79%) with the 55‐s ground truth down to 30 s in healthy volunteers and COPD, except for perfusion, which was more sensitive to truncation.
A. Voskrebenzev +7 more
wiley +1 more source
Consistency of local linear regression estimator for mixtures with varying concentrations
Modern Stochastics: Theory and ApplicationsFinite mixtures with different regression models for different mixture components naturally arise in statistical analysis of biological and sociological data. In this paper a model of mixtures with varying concentrations is considered in which the mixing
Daniel Horbunov, Rostyslav Maiboroda
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Monitoring panels of sparse functional data
Journal of Time Series Analysis, Volume 47, Issue 3, Page 660-674, May 2026.Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source