Aurore Delaigle

39 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-4280-3579

School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia

Publications

• Handbook of Measurement Error Models — Journal of the American Statistical Association 2023
• Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error — Journal of the American Statistical Association 2022
• Report of the Editors—2020 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
• Estimating the Covariance of Fragmented and Other Related Types of Functional Data — Journal of the American Statistical Association 2021
• Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates — Journal of the American Statistical Association 2020
• Clustering functional data into groups by using projections — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
• A frequency domain analysis of the error distribution from noisy high-frequency data — Biometrika 2018
• Nonparametric covariate-adjusted regression — The Annals of Statistics 2016
• Methodology for non-parametric deconvolution when the error distribution is unknown — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
• Approximating fragmented functional data by segments of Markov chains — Biometrika 2016
• Peter Hall’s main contributions to deconvolution — The Annals of Statistics 2016
• Confidence bands in non-parametric errors-in-variables regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
• Nonparametric methods for group testing data, taking dilution into account — Biometrika 2015
• Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates — Journal of the American Statistical Association 2015
• New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data — Biometrika 2014
• Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem — Journal of the American Statistical Association 2014
• Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier — The Annals of Statistics 2013
• Classification Using Censored Functional Data — Journal of the American Statistical Association 2013
• Componentwise classification and clustering of functional data — Biometrika 2012
• Nonparametric regression with homogeneous group testing data — The Annals of Statistics 2012
• Deconvolution When Classifying Noisy Data Involving Transformations — Journal of the American Statistical Association 2012
• Comment: Robustness to Assumption of Normally Distributed Errors — Journal of the American Statistical Association 2012
• Achieving near perfect classification for functional data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
• Methodology and theory for partial least squares applied to functional data — The Annals of Statistics 2012
• Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error — Journal of the American Statistical Association 2011
• Nonparametric Regression Analysis for Group Testing Data — Journal of the American Statistical Association 2011
• Robustness and accuracy of methods for high dimensional data analysis based on Student'st-statistic — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
• Defining probability density for a distribution of random functions — The Annals of Statistics 2010
• A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem — Journal of the American Statistical Association 2009
• Nonparametric Prediction in Measurement Error Models — Journal of the American Statistical Association 2009
• Rejoinder — Journal of the American Statistical Association 2009
• Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems — Journal of the American Statistical Association 2008
• On deconvolution with repeated measurements — The Annals of Statistics 2008
• Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
• Accelerated convergence for nonparametric regression with coarsened predictors — The Annals of Statistics 2007
• Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem — Journal of the American Statistical Association 2007
• Nonparametric methods for solving the Berkson errors-in-variables problem — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
• Estimation of integrated squared density derivatives from a contaminated sample — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2002
• Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data — Journal of the American Statistical Association