206 citations · 664 across the 15 of their papers we have counts for
10 papers · 1 filter
Nonparametric density estimation for intentionally corrupted functional data
Aurore Delaigle, Alexander Meister
We consider statistical models where functional data are artificially contaminated by independent Wiener processes in order to satisfy privacy constraints. We show that the corrupt…
A frequency domain analysis of the error distribution from noisy high-frequency data
Jinyuan Chang, Aurore Delaigle, Peter Hall +1
Data observed at high sampling frequency are typically assumed to be an additive composite of a relatively slow-varying continuous-time component, a latent stochastic process or a…
Nonparametric covariate-adjusted regression
Aurore Delaigle, Peter Hall, Wen-Xin Zhou
We consider nonparametric estimation of a regression curve when the data are observed with multiplicative distortion which depends on an observed confounding variable. We suggest s…
Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier
Raymond J. Carroll, Aurore Delaigle, Peter Hall
The data functions that are studied in the course of functional data analysis are assembled from discrete data, and the level of smoothing that is used is generally that which is a…
Methodology and theory for partial least squares applied to functional data
Aurore Delaigle, Peter Hall
The partial least squares procedure was originally developed to estimate the slope parameter in multivariate parametric models. More recently it has gained popularity in the functi…
Nonparametric regression with homogeneous group testing data
Aurore Delaigle, Peter Hall
We introduce new nonparametric predictors for homogeneous pooled data in the context of group testing for rare abnormalities and show that they achieve optimal rates of convergence…