| Publication | Date of Publication | Type |
|---|
| Optimal nonparametric testing of missing completely at random and its connections to compatibility | 2024-01-04 | Paper |
| Optimal subgroup selection | 2024-01-04 | Paper |
| Efficient functional estimation and the super-oracle phenomenon | 2023-07-19 | Paper |
| High-Dimensional Principal Component Analysis with Heterogeneous Missingness | 2023-05-17 | Paper |
| High-Dimensional, Multiscale Online Changepoint Detection | 2022-09-27 | Paper |
| Variable Selection with Error Control: Another Look at Stability Selection | 2022-07-11 | Paper |
| Sparse Principal Component Analysis via Axis-Aligned Random Projections | 2022-07-08 | Paper |
| Goodness-of-fit Testing in High Dimensional Generalized Linear Models | 2022-07-08 | Paper |
| A Unifying Tutorial on Approximate Message Passing | 2022-06-03 | Paper |
| Isotonic regression with unknown permutations: statistics, computation and adaptation | 2022-03-23 | Paper |
| Adaptive transfer learning | 2022-02-07 | Paper |
| Optimal rates for independence testing via $U$-statistic permutation tests | 2021-12-03 | Paper |
| Local continuity of log-concave projection, with applications to estimation under model misspecification | 2021-09-10 | Paper |
| Bounding distributional errors via density ratios | 2021-07-09 | Paper |
| High-dimensional nonparametric density estimation via symmetry and shape constraints | 2021-07-05 | Paper |
| Minimax rates in sparse, high-dimensional change point detection | 2021-07-05 | Paper |
| Confidence intervals for high-dimensional Cox models | 2021-04-27 | Paper |
| Nonparametric independence testing via mutual information | 2021-04-20 | Paper |
| Adaptation in multivariate log-concave density estimation | 2021-03-11 | Paper |
| Robust inference with knockoffs | 2020-08-28 | Paper |
| Local nearest neighbour classification with applications to semi-supervised learning | 2020-08-28 | Paper |
| The Conditional Permutation Test for Independence While Controlling for Confounders | 2020-08-26 | Paper |
| Classification with imperfect training labels | 2020-06-09 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5216409 | 2020-02-17 | Paper |
| Optimal rates for independence testing via $U$-statistic permutation tests | 2020-01-15 | Paper |
| Isotonic regression in general dimensions | 2019-10-09 | Paper |
| Goodness-of-fit testing in high-dimensional generalized linear models | 2019-08-09 | Paper |
| Generalized Additive and Index Models with Shape Constraints | 2019-06-12 | Paper |
| Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density | 2019-04-30 | Paper |
| Efficient multivariate entropy estimation via \(k\)-nearest neighbour distances | 2019-03-14 | Paper |
| Recent progress in log-concave density estimation | 2019-03-06 | Paper |
| A conversation with Jon Wellner | 2019-03-06 | Paper |
| Adaptation in log-concave density estimation | 2018-10-24 | Paper |
| High Dimensional Change Point Estimation via Sparse Projection | 2018-02-19 | Paper |
| Comments on: ``High-dimensional simultaneous inference with the bootstrap | 2018-02-02 | Paper |
| Comment | 2017-10-13 | Paper |
| Random-projection Ensemble Classification | 2017-09-29 | Paper |
| Comments on `High-dimensional simultaneous inference with the bootstrap' | 2017-03-29 | Paper |
| Global rates of convergence in log-concave density estimation | 2017-02-13 | Paper |
| Peter Hall's work on high-dimensional data and classification | 2016-11-18 | Paper |
| Statistical and computational trade-offs in estimation of sparse principal components | 2016-11-18 | Paper |
| A note on methods of restoring consistency to the bootstrap | 2016-06-27 | Paper |
| Stochastic search for semiparametric linear regression models | 2015-07-30 | Paper |
| A useful variant of the Davis–Kahan theorem for statisticians | 2015-06-26 | Paper |
| Optimal weighted nearest neighbour classifiers | 2014-09-15 | Paper |
| Independent component analysis via nonparametric maximum likelihood estimation | 2014-09-15 | Paper |
| Discussion of ``Correlated variables in regression: clustering and sparse estimation | 2014-01-24 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2844455 | 2013-08-28 | Paper |
| Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density | 2013-05-27 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2880959 | 2012-04-17 | Paper |
| Comment | 2012-01-18 | Paper |
| Approximation by log-concave distributions, with applications to regression | 2011-06-29 | Paper |
| Variable selection with error control: Another look at Stability Selection | 2011-05-27 | Paper |
| Smoothed log-concave maximum likelihood estimation with applications | 2011-02-06 | Paper |
| Asymptotics and optimal bandwidth selection for highest density region estimation | 2010-05-26 | Paper |
| Choice of neighbor order in nearest-neighbor classification | 2008-11-18 | Paper |
| Acknowledgement of priority: ``Central limit theorem and convergence to stable laws in Mallows distance | 2006-11-06 | Paper |
| Understanding past ocean circulations: a nonparametric regression case study | 2006-07-14 | Paper |
| Central limit theorem and convergence to stable laws in Mallows distance | 2006-03-23 | Paper |
| Small Confidence Sets for the Mean of a Spherically Symmetric Distribution | 2005-09-01 | Paper |
| Properties of Bagged Nearest Neighbour Classifiers | 2005-09-01 | Paper |
| The empirical process in Mallows distance, with application to goodness-of-fit tests | 2005-04-21 | Paper |
| Convergence of the empirical process in Mallows distance, with an application to bootstrap performance | 2004-06-29 | Paper |
