| Publication | Date of Publication | Type |
|---|
| Group Testing Regression Analysis with Missing Data and Imperfect Tests | 2024-01-29 | Paper |
| Estimating the Covariance of Fragmented and Other Related Types of Functional Data | 2023-05-22 | Paper |
| Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error | 2023-03-09 | Paper |
| Non-Parametric Regression Estimation from Data Contaminated by a Mixture of Berkson and Classical Errors | 2022-07-11 | Paper |
| Nonparametric density estimation for intentionally corrupted functional data | 2022-03-04 | Paper |
| Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates | 2020-08-03 | Paper |
| Clustering Functional Data into Groups by Using Projections | 2019-09-26 | Paper |
| Approximating fragmented functional data by segments of Markov chains | 2019-06-24 | Paper |
| A frequency domain analysis of the error distribution from noisy high-frequency data | 2019-06-24 | Paper |
| Confidence Bands in Non-Parametric Errors-In-Variables Regression | 2019-06-14 | Paper |
| Achieving near Perfect Classification for Functional Data | 2019-05-09 | Paper |
| Methodology for Non-Parametric Deconvolution When the Error Distribution is Unknown | 2019-05-09 | Paper |
| Robustness and Accuracy of Methods for High Dimensional Data Analysis Based on Student’s t-Statistic | 2019-04-30 | Paper |
| Semi-parametric prediction intervals in small areas when auxiliary data are measured with error. | 2018-11-22 | Paper |
| In memoriam: Peter Gavin Hall (1951--2016). A conversation with Peter Hall | 2018-10-02 | Paper |
| Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates | 2017-10-13 | Paper |
| Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem | 2017-08-04 | Paper |
| Peter Hall's main contributions to deconvolution | 2016-11-18 | Paper |
| Nonparametric covariate-adjusted regression | 2016-11-18 | Paper |
| Nonparametric estimation for a class of Lévy processes | 2016-08-04 | Paper |
| Nonparametric Kernel Methods with Errors-in-Variables: Constructing Estimators, Computing them, and Avoiding Common Mistakes | 2016-04-27 | Paper |
| Root-\(T\) consistent density estimation in GARCH models | 2016-03-01 | Paper |
| Nonparametric methods for group testing data, taking dilution into account | 2016-01-08 | Paper |
| Local bandwidth selectors for deconvolution kernel density estimation | 2015-10-16 | Paper |
| A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem | 2015-06-22 | Paper |
| Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error | 2015-06-17 | Paper |
| Nonparametric Prediction in Measurement Error Models | 2015-06-10 | Paper |
| Rejoinder | 2015-06-10 | Paper |
| New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data | 2014-10-02 | Paper |
| Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier | 2014-04-04 | Paper |
| Classification Using Censored Functional Data | 2014-04-01 | Paper |
| Weighted least squares methods for prediction in the functional data linear model | 2013-05-27 | Paper |
| Comment: Robustness to Assumption of Normally Distributed Errors | 2012-11-09 | Paper |
| Deconvolution When Classifying Noisy Data Involving Transformations | 2012-11-09 | Paper |
| Nonparametric regression with homogeneous group testing data | 2012-09-03 | Paper |
| Methodology and theory for partial least squares applied to functional data | 2012-09-03 | Paper |
| Effect of heavy tails on ultra high dimensional variable ranking methods | 2012-08-24 | Paper |
| Componentwise classification and clustering of functional data | 2012-06-18 | Paper |
| Nonparametric Regression Analysis for Group Testing Data | 2011-10-28 | Paper |
| Estimation of observation-error variance in errors-in-variables regression | 2011-10-21 | Paper |
| Nonparametric function estimation under Fourier-oscillating noise | 2011-10-21 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3077990 | 2011-02-18 | Paper |
| Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems | 2010-10-22 | Paper |
| Discussion of ‘identification and estimation of non-linear models using two samples with nonclassical measurement errors’ | 2010-06-18 | Paper |
| Defining probability density for a distribution of random functions | 2010-03-24 | Paper |
| Kernel methods and minimum contrast estimators for empirical deconvolution | 2010-03-01 | Paper |
| Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem | 2009-06-12 | Paper |
| Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems | 2009-06-12 | Paper |
| Density estimation with heteroscedastic error | 2009-03-02 | Paper |
| Data-driven boundary estimation in deconvolution problems | 2008-12-11 | Paper |
| Practical bandwidth selection in deconvolution kernel density estimation | 2008-11-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3534834 | 2008-11-05 | Paper |
| Survival and aging in the wild via residual demography | 2008-08-12 | Paper |
| On deconvolution with repeated measurements | 2008-04-23 | Paper |
| Accelerated convergence for nonparametric regression with coarsened predictors | 2008-02-26 | Paper |
| Nonparametric density estimation from data with a mixture of Berkson and classical errors | 2007-10-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3427556 | 2007-03-20 | Paper |
| Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem | 2006-11-14 | Paper |
| On optimal kernel choice for deconvolution | 2006-10-05 | Paper |
| Estimation of Integrated Squared Density Derivatives from a Contaminated Sample | 2005-04-29 | Paper |
| Bootstrap bandwidth selection in kernel density estimation from a contaminated sample | 2004-09-27 | Paper |
