Aurore Delaigle

Q: What Schools Are Affiliated With Aurore Delaigle

Aurore Delaigle is affiliated with the following schools: Université catholique de Louvain, University of Bristol, University of Melbourne, University of California, San Diego

Aurore Delaigle's AcademicInfluence.com Rankings

Aurore Delaigle

Mathematics

#7097

World Rank

#9717

Historical Rank

Statistics

#974

World Rank

#1068

Historical Rank

mathematics Degrees

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Mathematics

Why Is Aurore Delaigle Influential?

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According to Wikipedia, Aurore Delaigle is a Professor and ARC Future Fellow in the Department of Mathematics and Statistics at the University of Melbourne, Australia. Her research interests include nonparametric statistics, deconvolution and functional data analysis.

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Aurore Delaigle's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

On deconvolution with repeated measurements (2008) (217)
Practical bandwidth selection in deconvolution kernel density estimation (2004) (182)
Achieving near perfect classification for functional data (2012) (157)
Defining probability density for a distribution of random functions (2010) (137)
Bootstrap bandwidth selection in kernel density estimation from a contaminated sample (2004) (131)
Methodology and theory for partial least squares applied to functional data (2012) (125)
Density estimation with heteroscedastic error (2008) (86)
Estimation of integrated squared density derivatives from a contaminated sample (2002) (82)
A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem (2009) (77)
Componentwise classification and clustering of functional data (2012) (73)
Robustness and accuracy of methods for high dimensional data analysis based on Student's t‐statistic (2010) (71)
An alternative view of the deconvolution problem (2008) (70)
Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems (2008) (66)
Classification Using Censored Functional Data (2013) (65)
Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem (2007) (64)
On optimal kernel choice for deconvolution (2006) (59)
Nonparametric covariate-adjusted regression (2016) (50)
Non‐parametric regression estimation from data contaminated by a mixture of Berkson and classical errors (2007) (47)
Nonparametric Prediction in Measurement Error Models (2009) (47)
Nonparametric Regression Analysis for Group Testing Data (2011) (46)
ESTIMATION OF BOUNDARY AND DISCONTINUITY POINTS IN DECONVOLUTION PROBLEMS (2006) (45)
Nonparametric methods for solving the Berkson errors‐in‐variables problem (2006) (41)
Methodology for non‐parametric deconvolution when the error distribution is unknown (2016) (41)
Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error (2011) (41)
Nonparametric regression with homogeneous group testing data (2012) (40)
Approximating fragmented functional data by segments of Markov chains (2016) (34)
Confidence bands in non‐parametric errors‐in‐variables regression (2015) (32)
Survival and aging in the wild via residual demography. (2007) (30)
Nonparametric estimation for a class of Levy processes (2010) (27)
Nonparametric density estimation from data with a mixture of Berkson and classical errors (2007) (26)
Nonparametric Kernel Methods with Errors‐in‐Variables: Constructing Estimators, Computing them, and Avoiding Common Mistakes (2014) (24)
Data-driven boundary estimation in deconvolution problems (2006) (23)
New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data (2014) (23)
Nonparametric Estimation of the Size and Waiting Time Distributions of Pulsar Glitches (2018) (21)
Nonparametric methods for group testing data, taking dilution into account (2015) (20)
Weighted least squares methods for prediction in the functional data linear model (2009) (20)
Nonparametric function estimation under Fourier-oscillating noise (2011) (19)
Clustering functional data into groups by using projections (2019) (19)
Higher Criticism in the Context of Unknown Distribution, Non-independence and Classification (2009) (18)
Estimating the Covariance of Fragmented and Other Related Types of Functional Data (2020) (14)
ESTIMATION OF OBSERVATION-ERROR VARIANCE IN ERRORS-IN-VARIABLES REGRESSION (2011) (14)
Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates (2015) (12)
UNEXPECTED PROPERTIES OF BANDWIDTH CHOICE WHEN SMOOTHING DISCRETE DATA FOR CONSTRUCTING A FUNCTIONAL DATA CLASSIFIER. (2013) (11)
Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem (2014) (10)
Accelerated convergence for nonparametric regression with coarsened predictors (2007) (9)
Local bandwidth selectors for deconvolution kernel density estimation (2012) (9)
A Conversation with Peter Hall (2016) (8)
New approaches to non-and semi-parametric regression for univariate and multivariate group testing data (2014) (8)
EFFECT OF HEAVY TAILS ON ULTRA HIGH DIMENSIONAL VARIABLE RANKING METHODS (2012) (8)
Peter Hall’s main contributions to deconvolution (2016) (7)
Deconvolution When Classifying Noisy Data Involving Transformations (2012) (6)
Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems (2011) (6)
A frequency domain analysis of the error distribution from noisy high-frequency data (2018) (5)
Semi-parametric prediction intervals in small areas when auxiliary data are measured with error. (2018) (5)
Root-T consistent density estimation in GARCH models (2016) (4)
Handbook of Measurement Error Models (2021) (3)
Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates (2020) (3)
Probability and Mathematical Genetics: Kernel methods and minimum contrast estimators for empirical deconvolution (2010) (2)
REANALYSIS OF -STATISTIC GRAVITATIONAL-WAVE SEARCHES WITH THE HIGHER CRITICISM STATISTIC (2013) (2)
Deconvolution Kernel Density Estimation (2021) (2)
Comment: Robustness to Assumption of Normally Distributed Errors (2012) (1)
Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error (2020) (1)
Nonparametric kernel methods for curve estimation and measurement errors (2014) (1)
Group Testing Regression Analysis with Missing Data and Imperfect Tests (1)
Streaming Data Classification A Review from the Statistical Perspective (2015) (0)
Deconvolution with Unknown Error Distribution (2021) (0)
Statistical Methodology and Theory for Functional and Topological Data (2020) (0)
Local bandwidth selectors for deconvolution kernel density estimation (2011) (0)
Nonparametric density estimation for intentionally corrupted functional data (2019) (0)
Discussion of ‘identification and estimation of non-linear models using two samples with nonclassical measurement errors’ (2010) (0)
Rejoinder (2009) (0)
Report of the Editors—2020 (2020) (0)
Supplementary Material for Componentwise classification and clustering of functional data (0)
Group testing regression analysis with covariates and specimens subject to missingness (2023) (0)
2 Model and outline of methodology 2 . 1 Model and regression estimator (2013) (0)
Con(cid:12)dence bands in nonparametric errors-in-variables regression (2013) (0)

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What Schools Are Affiliated With Aurore Delaigle?

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