Suivre
Joshua Snoke, Ph.D.
Joshua Snoke, Ph.D.
Statistician, RAND Corporation
Adresse e-mail validée de rand.org - Page d'accueil
Titre
Citée par
Citée par
Année
General and specific utility measures for synthetic data
J Snoke, GM Raab, B Nowok, C Dibben, A Slavkovic
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018
972018
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
J Snoke, A Slavković
International Conference on Privacy in Statistical Databases, 138-159, 2018
302018
Comparative study of differentially private synthetic data algorithms from the NIST PSCR differential privacy synthetic data challenge
CMK Bowen, J Snoke
Journal of Privacy and Confidentiality 11 (1), 2021
20*2021
synthpop: Generating synthetic versions of sensitive microdata for statistical disclosure control
B Nowok, GM Raab, J Snoke, C Dibben
R package version, 1.3-0, 2016
112016
American Instructional Resources Surveys
S Doan, PAZ FERNANDEZ, D GRANT, JH Kaufman, CM SETODJI, ...
102020
COVID-19 and the State of K-12 Schools: Results and Technical Documentation from the Fall 2020 American Educator Panels COVID-19 Surveys. Research Report. RR-A168-5.
JH Kaufman, M Diliberti, GP Hunter, D Grant, LS Hamilton, HL Schwartz, ...
RAND Corporation, 2020
102020
Providing accurate models across private partitioned data: Secure maximum likelihood estimation
J Snoke, TR Brick, A Slavković, MD Hunter
Annals of Applied Statistics 12 (2), 877-914, 2018
102018
Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users
AG Ororbia II, F Linder, J Snoke
arXiv preprint arXiv:1606.01151, 2017
8*2017
How Statisticians Should Grapple with Privacy in a Changing Data Landscape
J Snoke, CMK Bowen
CHANCE 33 (4), 6-13, 2020
52020
Organizational Characteristics Associated with Risk of Sexual Assault and Sexual Harassment in the US Army
M Matthews, AR Morral, TL Schell, M Cefalu, J Snoke, RJ Briggs
42021
COVID-19 and the State of K-12 Schools: Results and Technical Documentation from the Spring 2021 American Educator Panels COVID-19 Surveys
JH Kaufman, MK Diliberti, GP Hunter, J Snoke, DM Grant, CM Setodji, ...
RAND, 2021
32021
Differential Privacy: What Is It?
J Snoke, CMK Bowen
AMSTAT news: the membership magazine of the American Statistical Association …, 2019
32019
Statistical Data Privacy Methods for Increasing Research Opportunities
JV Snoke
The Pennsylvania State University, 2018
22018
Accurate Estimation of Structural Equation Models with Remote Partitioned Data
J Snoke, T Brick, A Slavković
International Conference on Privacy in Statistical Databases, 190-209, 2016
22016
Is Today's US Air Force Fit? It Depends on How Fitness is Measured
S Robson, M Walsh, M Matthews, CS Sims, J Snoke
RAND PROJECT AIR FORCE SANTA MONICA CA, 2022
12022
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses for Administrative Tax Data
AF Barrientos, AR Williams, J Snoke, CMK Bowen
arXiv preprint arXiv:2110.12055, 2021
12021
Physical Fitness Standards to Support Readiness and Deployability: An Examination of Department of the Air Force Policies and Culture
M Matthews, CS Sims, S Robson, M Walsh, S Rennane, J Snoke
RAND PROJECT AIR FORCE SANTA MONICA CA, 2022
2022
Physical Fitness Standards to Support Readiness and Deployability
M MATTHEWS, CS SIMS, S ROBSON, M WALSH, S RENNANE, ...
2022
US Air Force Enlisted Classification and Reclassification
S ROBSON, MC LYTELL, M WALSH, KC HALL, KM KELLER, V KILAMBI, ...
2022
Differentially Private Methods for Validation Servers: A Feasibility Study on Administrative Tax Data
AF Barrientos, AR Williams, J Snoke, C Bowen
Urban Institute, 2021
2021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20