E-LIB Suche - Ergebnisse für: Hu, Jingchen (Monika)

1

Risk-Weighted Data Synthesizers for Microdata Dissemination:

Hu, Jingchen (Monika) ; Savitsky, Terrance ; Williams, Matthew
CHANCE. 33 (2020) 4 - p. 29-36 , 2020

Link: https://doi.org/10.1080/..

2

Taking a Chance in the Classroom: Teaching Upper-level Unde..:

Hu, Jingchen (Monika)
CHANCE. 32 (2019) 2 - p. 31-36 , 2019

Link: https://doi.org/10.1080/..

3

New Developments in Synthetic Data Generation:

Brett Beaulieu-Jones ; Jingchen (Monika) Hu ; Aaron R. Williams
doi:10.5281/zenodo.5933200. , 2022

Link: https://zenodo.org/recor..

4

A maximum rank theorem for solutions to the homogenous comp..:

Hu, Jingchen
Calculus of Variations and Partial Differential Equations. 63 (2024) 7 - p. , 2024

Link: https://doi.org/10.1007/..

5

Self-Supervised MAFENN for Classifying Low-Labeled Distorte..:

Li, Yang ; Sun, Fanglei ; Hu, Jingchen...
IEEE Transactions on Mobile Computing. 23 (2024) 8 - p. 8077-8091 , 2024

Link: https://doi.org/10.1109/..

6

A Metric Lower Bound Estimate for Geodesics in the Space of..:

Hu, Jingchen
The Journal of Geometric Analysis. 34 (2024) 8 - p. , 2024

Link: https://doi.org/10.1007/..

7

Introducing Variational Inference in Statistics and Data Sc..:

Kejzlar, Vojtech ; Hu, Jingchen
The American Statistician. , 2023

Link: https://doi.org/10.1080/..

8

Advancing microdata privacy protection: A review of synthet..:

Hu, Jingchen ; Bowen, Claire McKay
WIREs Computational Statistics. 16 (2023) 1 - p. , 2023

Link: https://doi.org/10.1002/..

9

Protecting the anonymity of online users through Bayesian d..:

Schneider, Matthew J. ; Hu, Jingchen ; Mankad, Shawn.
Expert Systems with Applications. 216 (2023) - p. 119409 , 2023

Link: https://doi.org/10.1016/..

10

Private Tabular Survey Data Products through Synthetic Micr..:

Hu, Jingchen ; Savitsky, Terrance D ; Williams, Matthew R
Journal of Survey Statistics and Methodology. 10 (2022) 3 - p. 720-752 , 2022

Link: https://doi.org/10.1093/..

11

Content and computing outline of two undergraduate Bayesian..:

Hu, Jingchen ; Dogucu, Mine
Stat. 11 (2022) 1 - p. , 2022

Link: https://doi.org/10.1002/..

12

Accuracy Gains from Privacy Amplification Through Sampling ..:

Hu, Jingchen ; Drechsler, JÖrg ; Kim, Hang J
Journal of Survey Statistics and Methodology. 10 (2022) 3 - p. 688-719 , 2022

Link: https://doi.org/10.1093/..

13

Data Privacy Protection and Utility Preservation through Ba..:

Guo, Shijie ; Hu, Jingchen
The American Statistician. 77 (2022) 2 - p. 192-200 , 2022

Link: https://doi.org/10.1080/..

14

Multi-Agent Feedback Enabled Neural Networks for Intelligen..:

Sun, Fanglei ; Li, Yang ; Wen, Ying...
IEEE Transactions on Wireless Communications. 21 (2022) 8 - p. 6167-6179 , 2022

Link: https://doi.org/10.1109/..

15

The Current State of Undergraduate Bayesian Education and R..:

Dogucu, Mine ; Hu, Jingchen
The American Statistician. 76 (2022) 4 - p. 405-413 , 2022

Link: https://doi.org/10.1080/..