Jingchen (Monika) Hu
Vassar College
H-index: 10
North America-United States
Top articles of Jingchen (Monika) Hu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Advancing microdata privacy protection: A review of synthetic data methods | Jingchen Hu Claire McKay Bowen | 2024/1 | |
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis | Statistica Sinica | Jingchen Hu Matthew R Williams Terrance D Savitsky | 2023 |
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings | The American Statistician | Shijie Guo Jingchen Hu | 2023 |
Introducing Variational Inference in Statistics and Data Science Curriculum | The American Statistician | Vojtech Kejzlar Jingchen Hu | 2023/7/20 |
Bayesian pseudo posterior mechanism under asymptotic differential privacy | Journal of Machine Learning Research | Terrance D Savitsky Matthew R Williams Jingchen Hu | 2022 |
Privacy Protection for Youth Risk Behavior Using Bayesian Data Synthesis: A Case Study to the YRBS | Privacy in Statistical Databases e-proceedings | Yixiao Cao Jingchen Hu | 2022 |
The current state of undergraduate Bayesian education and recommendations for the future | The American Statistician | Mine Dogucu Jingchen Hu | 2022 |
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations | Stat | Jingchen Hu Mine Dogucu | 2022/12 |
Protecting the Anonymity of Online Users through Bayesian Data Synthesis | Expert Systems With Applications | Matthew J Schneider Jingchen Hu Shawn Mankad Cameron D Bale | 2022 |
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy | Journal of Survey Statistics and Methodology | Jingchen Hu Jörg Drechsler Hang J Kim | 2022/6 |
Risk-efficient Bayesian pseudo posterior data synthesis for privacy protection | Journal of Survey Statistics and Methodology | Jingchen Hu Terrance D Savitsky Matthew R Williams | 2022 |
Private tabular survey data products through synthetic microdata generation | Journal of Survey Statistics and Methodology | Jingchen Hu Terrance D Savitsky Matthew R Williams | 2022/6 |
Synthesizing geocodes to facilitate access to detailed geographical information in large scale administrative data | Journal of Survey Statistics and Methodology | Joerg Drechsler Jingchen Hu | 2021/6 |
Bayesian Estimation of Attribute Disclosure Risks in Synthetic Data with the R Package | arXiv:2103.09805 | Ryan Hornby Jingchen Hu | 2021 |
Multiple imputation and synthetic data generation with the R package NPBayesImputeCat | The R Journal | Jingchen Hu Olanrewaju Akande Quanli Wang | 2021 |
Online Statistics Teaching and Learning | Jim Albert Mine Cetinkaya-Rundel Jingchen Hu | 2020/5/10 | |
Teaching an Undergraduate Course in Bayesian Statistics: A Panel Discussion | Journal of Statistics Education | Alicia Johnson Colin Rundel Jingchen Hu Kevin Ross Allan Rossman | 2020/9/1 |
Two-Phase Data Synthesis for Income: An Application to the NHIS | Privacy in Statistical Databases e-proceedings | Kevin Ros Henrik Olsson Jingchen Hu | 2020/6/2 |
Vector-weighted Mechanisms for Utility Max-imization under Differential Privacy | arXiv preprint arXiv:2006.01230 | Terrance D Savitsky Jingchen Hu Matthew R Williams | 2020/6 |
Bayesian Computing in the Undergraduate Statistics Curriculum | Journal of Statistics Education | Jim Albert Jingchen Hu | 2020/11 |
Co-Authors
