Aurore Delaigle
Statistics and Probability · 2002–2016
A researcher in the Science corpus: 15 papers; trusts 40 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 65 citations into it; #978 of 12,932 by trust here, #1,887 by citations
- Artificial Intelligence — 28 citations into it; #5,191 of 35,345 by trust here, #12,244 by citations
- Analytical Chemistry — 17 citations into it; #190 of 1,254 by trust here, #893 by citations
- Control and Systems Engineering — 12 citations into it; #1,034 of 8,257 by trust here, #2,782 by citations
- Economics and Econometrics — 5 citations into it
- Information Systems — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Aurore Delaigle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Hall
- Raymond J. Carroll
- Gareth M. James
- Frédéric Ferraty
- Hyejin Shin
- Trevor J. Hastie
- Jianqing Fan
- A. Meister
- Matt P. Wand
- Leo Breiman
Who trusts Aurore Delaigle overall
- Peter Hall
- H. Muller
- José R. Berrendero
- Fabienne Comte
- A. Meister
- Antonio Cuevas
- John W. Staudenmayer
- Kengo Kato
- Nicolai Bissantz
- J. Jacques
Papers from Aurore Delaigle's perspective
Ordered by how strongly the researchers Aurore Delaigle trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- [A Statistical View of Some Chemometrics Regression Tools]: Discussion
- Consistent Nonparametric Regression
- Model selection and estimation in regression with grouped variables
- Applied Functional Data Analysis: Methods and Case Studies
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Bagging Predictors
- Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
- Estimating the Dimension of a Model
- Kernel Smoothing
Their papers
- Estimation of integrated squared density derivatives from a contaminated sample (2002) — 86 citations
- Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem (2007) — 74 citations
- Achieving near perfect classification for functional data (2012) — 203 citations
- Defining probability density for a distribution of random functions (2010) — 166 citations
- On deconvolution with repeated measurements (2008) — 215 citations
- Classification Using Censored Functional Data (2013) — 86 citations
- Methodology and theory for partial least squares applied to functional data (2012) — 153 citations
- On optimal kernel choice for deconvolution (2006) — 48 citations
- Bootstrap bandwidth selection in kernel density estimation from a contaminated sample (2004) — 126 citations
- Density estimation with heteroscedastic error (2008) — 88 citations
- Nonparametric covariate-adjusted regression (2016) — 70 citations
- Methodology for non‐parametric deconvolution when the error distribution is unknown (2016) — 56 citations
- Componentwise classification and clustering of functional data (2012) — 74 citations
- Nonparametric Regression Analysis for Group Testing Data (2011) — 55 citations
- An alternative view of the deconvolution problem (2008) — 59 citations