activity
20202023
most citedDifferentially private multivariate medians

4 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

math.ST2023

Differentially private projection-depth-based medians

Kelly Ramsay, Dylan Spicker

We develop -differentially private projection-depth-based medians using the propose-test-release (PTR) and exponential mechanisms. Under general conditions on the input para…

math.ST2022★ 4 cited

Differentially private multivariate medians

Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri

Statistical tools which satisfy rigorous privacy guarantees are necessary for modern data analysis. It is well-known that robustness against contamination is linked to differential…

stat.ME2021★ 2 cited

Robust changepoint detection in the variability of multivariate functional data

Kelly Ramsay, Shoja'eddin Chenouri

We consider the problem of robustly detecting changepoints in the variability of a sequence of independent multivariate functions. We develop a novel changepoint procedure, called…

stat.ME2021★ 2 cited

Robust nonparametric hypothesis tests for differences in the covariance structure of functional data

Kelly Ramsay, Shojaeddin Chenouri

We develop a group of robust, nonparametric hypothesis tests which detect differences between the covariance operators of several populations of functional data. These tests, calle…

math.ST2021★ 3 cited

Differentially private depth functions and their associated medians

Kelly Ramsay, Shoja'eddin Chenouri

In this paper, we investigate the differentially private estimation of data depth functions and their associated medians. We introduce several methods for privatizing depth values…

stat.ME2020

Robust multiple change-point detection for multivariate variability using data depth

Kelly Ramsay, Shoja'eddin Chenouri

In this paper, we introduce two robust, nonparametric methods for multiple change-point detection in the variability of a multivariate sequence of observations. We demonstrate that…