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Ruobin Gong
Ruobin Gong
Assistant Professor of Statistics, Rutgers University
Verified email at stat.rutgers.edu
Title
Cited by
Cited by
Year
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox
R Gong, XL Meng
Statistical Science 36 (2), 169-190, 2021
30*2021
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations
R Gong
arXiv preprint arXiv:1909.12237, 2019
172019
Congenial Differential Privacy under Mandated Disclosure
R Gong, XL Meng
Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference, 59-70, 2020
132020
A data-driven framework for identifying high school students at risk of not graduating on time
RA Johnson, R Gong, S Greatorex-Voith, A Anand, A Fritzler
Bloomberg Data for Good Exchange Conf 5, 2015
82015
Transparent Privacy is Principled Privacy
R Gong
Harvard Data Science Review, 2022
52022
A Gibbs sampler for a class of random convex polytopes
PE Jacob, R Gong, PT Edlefsen, AP Dempster
Journal of the American Statistical Association 116 (535), 1181-1192, 2021
52021
Subspace differential privacy
J Gao, R Gong, FY Yu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3986-3995, 2022
32022
Simultaneous Inference Under the Vacuous Orientation Assumption
R Gong
PMLR 103, 225-234, 2019
22019
Low-resolution Statistical Modeling with Belief Functions
R Gong
PQDT-Global, 2018
22018
Dynamic Precise and Imprecise Probability Kinematics
M Caprio, R Gong
arXiv preprint arXiv:2110.04382, 2021
12021
Geometric Conditions for the Discrepant Posterior Phenomenon and Connections to Simpson's Paradox
Y Chen, R Gong, M Xie
arXiv preprint arXiv:2001.08336, 2020
12020
Contradictory conclusions in analysis of brain functional networks: the role of image registration.”
M Taquet, R Gong, SK Warfield
Organization for Human Brain Mapping (OHBM)”, Seattle, USA, 2013
12013
Harnessing the Known Unknowns: Differential Privacy and the 2020 Census
R Gong, EL Groshen, S Vadhan
Harvard Data Science Review, 2022
2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data
N Ju, JA Awan, R Gong, VA Rao
arXiv preprint arXiv:2206.00710, 2022
2022
Six Statistical Senses
RV Craiu, R Gong, XL Meng
arXiv preprint arXiv:2204.05313, 2022
2022
Deceptive Credences
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern
Ergo 7, 2021
2021
Total Evidence and Learning with Imprecise Probabilities
R Gong, JB Kadane, MJ Schervish, T Seidenfeld
International Symposium on Imprecise Probability: Theories and Applications …, 2021
2021
Rejoinder—A Gibbs Sampler for a Class of Random Convex Polytopes
PE Jacob, R Gong, PT Edlefsen, AP Dempster
Journal of the American Statistical Association 116 (535), 1211-1214, 2021
2021
Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know)
R Gong, XL Meng
Statistical Science 36 (2), 210-214, 2021
2021
IMSBulletin
E Gustafson
IMS Bulletin 49 (2), 2020
2020
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