251 citations · 506 across the 7 of their papers we have counts for
10 papers
The Test of Tests: A Framework For Differentially Private Hypothesis Testing
Zeki Kazan, Kaiyan Shi, Adam Groce +1
We present a generic framework for creating differentially private versions of any hypothesis test in a black-box way. We analyze the resulting tests analytically and experimentall…
Differentially Private Confidence Intervals
Wenxin Du, Canyon Foot, Monica Moniot +2
Confidence intervals for the population mean of normally distributed data are some of the most standard statistical outputs one might want from a database. In this work we give pra…
Differentially Private Nonparametric Hypothesis Testing
Simon Couch, Zeki Kazan, Kaiyan Shi +2
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independe…
Improved Differentially Private Analysis of Variance
Marika Swanberg, Ira Globus-Harris, Iris Griffith +3
Hypothesis testing is one of the most common types of data analysis and forms the backbone of scientific research in many disciplines. Analysis of variance (ANOVA) in particular is…
A Differentially Private Wilcoxon Signed-Rank Test
Simon Couch, Zeki Kazan, Kaiyan Shi +2
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we present a differentially private analogue of th…
Curriculum Guidelines for Undergraduate Programs in Data Science
Richard De Veaux, Mahesh Agarwal, Maia Averett +22
The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group cons…