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New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data

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Publication:3191466
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DOI10.1093/BIOMET/ASU025zbMath1334.62058OpenAlexW2032063120MaRDI QIDQ3191466

Aurore Delaigle, Justin Rory Wishart

Publication date: 2 October 2014

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asu025


zbMATH Keywords

bandwidthlocal polynomial regressionweighted estimatorsingle-index modelpartially linear modelmultivariate kernel estimator


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)


Related Items (5)

groupTesting: an R package for group testing estimation ⋮ Single-index regression for pooled biomarker data ⋮ Group Testing Regression Analysis with Missing Data and Imperfect Tests ⋮ Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates ⋮ Regression models for group testing: identifiability and asymptotics







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