Contradictory conclusions in analysis of brain functional networks: the role of image registration
M Taquet, R Gong, SK Warfield. 2013. Organization for Human Brain Mapping (OHBM)
Posts by Collection
portfolio
publications
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. 2015. Bloomberg Data for Good Exchange Conference
Discussion on prior-based Bayesian Information Criterion (PBIC) by MJ Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser
R Gong, M Xie. 2019. Statistical Theory and Related Fields
David Kennard (Director): John Cleese’s Wine for the Confused
R Gong. 2022. Journal of Wine Economics
Technical Comment on ‘‘Policy impacts of statistical uncertainty and privacy’’
Y Cui, R Gong, J Hannig, K Hoffman. 2023. Science
Informational richness and its impact on algorithmic fairness
M Di Bello, R Gong. 2023. Philosophical Studies
publications_foundation
Simultaneous inference under the vacuous orientation assumption
R Gong. 2019. ISIPTA
Geometric conditions for the Discrepant Posterior Phenomenon and connections to Simpson’s paradox
Y Chen, R Gong, M Xie. 2020. ArXiv:2001.08336
Deceptive credences
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2021. Ergo, an Open Access Journal of Philosophy
Judicious judgment meets unsettling updating: dilation, sure loss, and Simpson’s paradox (with discussion)
R Gong, XL Meng. 2021. Statistical Science
A Gibbs sampler for a class of random convex polytopes (with discussion)
PE Jacob, R Gong, PT Edlefsen, AP Dempster. 2021. Journal of the American Statistical Association
Learning and total evidence with imprecise probabilities
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2022. International Journal of Approximate Reasoning
The value provided by a scientific explanation
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2022. Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld
Six statistical senses
RV Craiu, R Gong, XL Meng. 2023. Annual Review of Statistics and Its Application
Dynamic precise and imprecise probability kinematics
M Caprio, R Gong. 2023. ISIPTA
publications_privacy
Congenial differential privacy under mandated disclosure
R Gong, XL Meng. 2020. FODS-20
Subspace differential privacy
J Gao, R Gong, FY Yu. 2022. AAAI-22
Transparent privacy is principled privacy
R Gong. 2022. Harvard Data Science Review
Exact inference with approximate computation for differentially private data via perturbations
R Gong. 2022. Journal of Privacy and Confidentiality
Data augmentation MCMC for Bayesian inference from privatized data
N Ju, JA Awan, R Gong, VA Rao. 2022. NeurIPS
Integer subspace differential privacy
P Dharangutte, J Gao, R Gong, FY Yu. 2023. AAAI-23
Can swapping be differentially private? A refreshment stirred, not shaken
J Bailie, R Gong, XL Meng. 2023. NBER Working Paper
Differentially private range queries with correlated input perturbation
P Dharangutte, J Gao, R Gong, G Wang. 2024. ArXiv
General inferential limits under differential and Pufferfish privacy
J Bailie, R Gong. 2024. International Journal of Approximate Reasoning
talks
Resolving Algorithmic Fariness
Published:
Measuring Severity in Statistical Inference
Published:
teaching
Regression and Time Series
Graduate course (16:960:594), 2018f, 2019f, 2020f
Applied Time Series Analysis
Graduate course (16:960:565), 2019s, 2020s
Byrne Seminar - Privacy in the Digital World: from Netflix to the Census
Freshman seminar (01:090:101:14), 2020f
Bayesian Analysis
Graduate course (16:960:568), 2021s, 2022s, 2023s, 2024s
Introduction to Bayesian Data Analysis
Undergraduate course (01:960:365), 2022f, 2023f