
Ruobin (Robin) Gong
@ruobingong
Assistant Professor of Statistics, Rutgers University
ID: 2895003345
https://ruobingong.github.io/ 27-11-2014 19:36:17
11 Tweet
121 Followers
90 Following


Thanks again to Walter Dempsey for this application, which I used for my ODSC talk. Thanks to StanfordTsikAi for spreading the word! Random testing takes no more than a very small fraction of the tests — in this case 1/500. The key, however, is to ensure it’s really random! Ideas?

Our special COVID-19 issue has launched! Read the opening piece by Editor-in-Chief Xiao-Li Meng The MIT Press @mitpress.bsky.social PubPub Harvard Data Science Initiative #datascience #COVID-19 #coronavirus COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science) hdsr.mitpress.mit.edu/pub/l7a2t45s

More new data: we just released more demonstration data based on the U.S. Census Bureau's differentially private algorithm. This release adds 12 additional tables, including races tallied and sex by age by race/ethnicity. nhgis.org/privacy-protec…

Our latest issue (2:3) is out and it features a high school student, a comedian, and two presidents among many others from industry and academia! Read it now starting with Xiao-Li Meng 's editorial #DataScience Harvard Data Science Initiative The MIT Press @mitpress.bsky.social PubPub hdsr.mitpress.mit.edu/pub/9ptj5iu7



In our special #Census issue Ruobin (Robin) Gong discusses the key statistical considerations behind transparent privacy and weighs a few challenges to transparency that emerge from the U.S. Census Bureau's adoption of #DifferentialPrivacy for the #2020Census Read: doi.org/10.1162/99608f…


Do you want to know the Whats, Whys & the Hows of the U.S. #Census? Check out the latest #HDSRPodcast episode and listen to our conversation with guests Erica L. Groshen & Ruobin (Robin) Gong #DifferentialPrivacy U.S. Census Bureau hdsr.podbean.com/e/differential…
