{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-differentially-private-wilcoxon-signed-rank","title":"A Differentially Private Wilcoxon Signed-Rank Test","arxiv_id":"1809.01635","date":"2018-09-05","proceeding":null,"authors":["Simon Couch","Zeki Kazan","Kaiyan Shi","Andrew Bray","Adam Groce"],"abstract":"Hypothesis tests are a crucial statistical tool for data mining and are the\nworkhorse of scientific research in many fields. Here we present a\ndifferentially private analogue of the classic Wilcoxon signed-rank hypothesis\ntest, which is used when comparing sets of paired (e.g., before-and-after) data\nvalues. We present not only a private estimate of the test statistic, but a\nmethod to accurately compute a p-value and assess statistical significance. We\nevaluate our test on both simulated and real data. Compared to the only\nexisting private test for this situation, that of Task and Clifton, we find\nthat our test requires less than half as much data to achieve the same\nstatistical power.","url_abs":"http://arxiv.org/abs/1809.01635v1","url_pdf":"http://arxiv.org/pdf/1809.01635v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-differentially-private-wilcoxon-signed-rank","repo_url":"https://github.com/simonpcouch/wilcoxon","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}