research
∙
05/19/2023
Nonparametric classification with missing data
We introduce a new nonparametric framework for classification problems i...
share
research
∙
05/17/2022
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
Given a set of incomplete observations, we study the nonparametric probl...
research
∙
05/14/2022
Network change point localisation under local differential privacy
Network data are ubiquitous in our daily life, containing rich but often...
research
∙
05/02/2022
Discussion of 'Multivariate Fisher's independence test for multivariate dependence'
Invited discussion for Biometrika of 'Multivariate Fisher's independence...
research
∙
01/03/2022
On robustness and local differential privacy
It is of soaring demand to develop statistical analysis tools that are r...
research
∙
01/26/2021
USP: an independence test that improves on Pearson's chi-squared and the G-test
We present the U-Statistic Permutation (USP) test of independence in the...
research
∙
05/26/2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
We find separation rates for testing multinomial or more general discret...
research
∙
01/15/2020
Optimal rates for independence testing via U-statistic permutation tests
We study the problem of independence testing given independent and ident...
research
∙
04/18/2019
Efficient two-sample functional estimation and the super-oracle phenomenon
We consider the estimation of two-sample integral functionals, of the ty...
research
∙
07/14/2018
The conditional permutation test
We propose a general new method, the conditional permutation test, for t...
research
∙
11/17/2017
Nonparametric independence testing via mutual information
We propose a test of independence of two multivariate random vectors, gi...
research
∙
04/03/2017