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Jingchen (Monika) Hu
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Disclosure risk evaluation for fully synthetic categorical data
J Hu, JP Reiter, Q Wang
International Conference on Privacy in Statistical Databases, 185-199, 2014
462014
Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data
J Hu, JP Reiter, Q Wang
Bayesian Analysis 13 (1), 183-200, 2018
422018
Bayesian estimation of attribute and identification disclosure risks in synthetic data
J Hu
Transactions of Data Privacy 12 (1), 61-89, 2019
242019
Probability and Bayesian Modeling
J Albert, J Hu
Chapman and Hall/CRC, 2019
232019
Bayesian non‐parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros
D Manrique‐Vallier, J Hu
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018
122018
Synthesizing geocodes to facilitate access to detailed geographical information in large scale administrative data
J Drechsler, J Hu
Journal of Survey Statistics and Methodology 9 (3), 523-548, 2021
92021
A Bayesian Statistics Course for Undergraduates: Bayesian Thinking, Computing, and Research
J Hu
Journal of Statistics Education 28 (3), 229-235, 2020
92020
Risk-efficient Bayesian pseudo posterior data synthesis for privacy protection
J Hu, TD Savitsky, MR Williams
Journal of Survey Statistics and Methodology, 2021
7*2021
Bayesian Computing in the Undergraduate Statistics Curriculum
J Albert, J Hu
Journal of Statistics Education 28 (3), 236-247, 2020
62020
Teaching an Undergraduate Course in Bayesian Statistics: A Panel Discussion
A Johnson, C Rundel, J Hu, K Ross, A Rossman
Journal of Statistics Education 28 (3), 251-261, 2020
62020
Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys
J Hu, TD Savitsky
arXiv preprint arXiv:1809.10074, 2018
62018
Bayesian pseudo posterior mechanism under differential privacy
TD Savitsky, MR Williams, J Hu
arXiv preprint arXiv:1909.11796, 2020
52020
Are independent parameter draws necessary for multiple imputation?
J Hu, R Mitra, J Reiter
The American Statistician 67 (3), 143-149, 2013
52013
Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package
R Hornby, J Hu
Transactions of Data Privacy 14 (1), 37-52, 2021
4*2021
The Quasi-Multinomial Synthesizer for Categorical Data
J Hu, N Hoshino
International Conference on Privacy in Statistical Databases, 75-91, 2018
42018
The current state of undergraduate Bayesian education and recommendations for the future
M Dogucu, J Hu
The American Statistician, 1-21, 2022
32022
Bayesian pseudo posterior mechanism under asymptotic differential privacy
TD Savitsky, MR Williams, J Hu
Journal of Machine Learning Research 23 (55), 1-37, 2022
32022
Dirichlet Process Mixture Models for Nested Categorical Data
J Hu
Duke University, 2015
32015
Multiple imputation and synthetic data generation with the R package NPBayesImputeCat
J Hu, O Akande, Q Wang
The R Journal 13 (2), 90-110, 2021
22021
Re-weighting of vector-weighted mechanisms for utility maximization under differential privacy
TD Savitsky, J Hu, MR Williams
arXiv preprint arXiv:2006.01230, 2020
22020
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Artiklar 1–20