The following pages link to Aurore Delaigle (Q250873):
Displaying 50 items.
- Peter Hall's main contributions to deconvolution (Q342654) (← links)
- Nonparametric covariate-adjusted regression (Q342684) (← links)
- Nonparametric regression with homogeneous group testing data (Q450024) (← links)
- Methodology and theory for partial least squares applied to functional data (Q450036) (← links)
- Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems (Q710758) (← links)
- Nonparametric estimation for a class of Lévy processes (Q736519) (← links)
- Local bandwidth selectors for deconvolution kernel density estimation (Q746235) (← links)
- Survival and aging in the wild via residual demography (Q935969) (← links)
- Practical bandwidth selection in deconvolution kernel density estimation (Q956830) (← links)
- Data-driven boundary estimation in deconvolution problems (Q959284) (← links)
- Density estimation with heteroscedastic error (Q1002570) (← links)
- In memoriam: Peter Gavin Hall (1951--2016). A conversation with Peter Hall (Q1790341) (← links)
- Bootstrap bandwidth selection in kernel density estimation from a contaminated sample (Q1881003) (← links)
- Weighted least squares methods for prediction in the functional data linear model (Q1952006) (← links)
- Defining probability density for a distribution of random functions (Q2380100) (← links)
- On deconvolution with repeated measurements (Q2426619) (← links)
- Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier (Q2443201) (← links)
- Accelerated convergence for nonparametric regression with coarsened predictors (Q2473078) (← links)
- On optimal kernel choice for deconvolution (Q2507702) (← links)
- Nonparametric kernel methods with errors-in-variables: constructing estimators, computing them, and avoiding common mistakes (Q2802866) (← links)
- Componentwise classification and clustering of functional data (Q2892088) (← links)
- Effect of heavy tails on ultra high dimensional variable ranking methods (Q2905102) (← links)
- (Q3077990) (← links)
- Estimation of observation-error variance in errors-in-variables regression (Q3094075) (← links)
- Nonparametric function estimation under Fourier-oscillating noise (Q3094076) (← links)
- Nonparametric Regression Analysis for Group Testing Data (Q3095182) (← links)
- New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data (Q3191466) (← links)
- Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates (Q3304867) (← links)
- Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem (Q3408532) (← links)
- (Q3427556) (← links)
- Nonparametric methods for group testing data, taking dilution into account (Q3459440) (← links)
- (Q3534834) (← links)
- Discussion of ‘identification and estimation of non-linear models using two samples with nonclassical measurement errors’ (Q3569207) (← links)
- Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem (Q3632605) (← links)
- Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems (Q3632637) (← links)
- Semi-parametric prediction intervals in small areas when auxiliary data are measured with error. (Q4558586) (← links)
- Robustness and Accuracy of Methods for High Dimensional Data Analysis Based on Student’s <i>t</i>-Statistic (Q4632657) (← links)
- Comment: Robustness to Assumption of Normally Distributed Errors (Q4648546) (← links)
- Deconvolution When Classifying Noisy Data Involving Transformations (Q4648561) (← links)
- Estimation of Integrated Squared Density Derivatives from a Contaminated Sample (Q4672168) (← links)
- Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem (Q4975411) (← links)
- Nonparametric density estimation for intentionally corrupted functional data (Q5037795) (← links)
- Non-Parametric Regression Estimation from Data Contaminated by a Mixture of Berkson and Classical Errors (Q5088200) (← links)
- Clustering Functional Data into Groups by Using Projections (Q5234402) (← links)
- Nonparametric Prediction in Measurement Error Models (Q5254715) (← links)
- Rejoinder (Q5254720) (← links)
- A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem (Q5256130) (← links)
- Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error (Q5256412) (← links)
- Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates (Q5367487) (← links)
- Confidence Bands in Non-Parametric Errors-In-Variables Regression (Q5379904) (← links)
