Nonparametric regression with homogeneous group testing data

DOI10.1214/11-AOS952zbMath1246.62101arXiv1205.6102OpenAlexW2079829847MaRDI QIDQ450024

Aurore Delaigle

Publication date: 3 September 2012

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1205.6102

zbMATH Keywords

prevalencepoolingsmoothingbandwidthlocal polynomial estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (14)

A Note on the Minimax Solution for the Two-Stage Group Testing Problem ⋮ A semi-local likelihood regression estimator of the proportion based on group testing data ⋮ Single-index regression for pooled biomarker data ⋮ Mixtures of spatial spline regressions for clustering and classification ⋮ Additive partially linear model for pooled biomonitoring data ⋮ Varying‐coefficient regression analysis for pooled biomonitoring ⋮ Group Testing Regression Analysis with Missing Data and Imperfect Tests ⋮ Nonparametric regression with homogeneous group testing data ⋮ Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates ⋮ Determination of varying group sizes for pooling procedure ⋮ Regression models for group testing: identifiability and asymptotics ⋮ Local polynomial regression for pooled response data ⋮ Sheep in wolf's clothing: using the least squares criterion for quantile estimation ⋮ Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness

Uses Software

• SemiPar

Cites Work

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• Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
• Group Testing Regression Models with Fixed and Random Effects

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