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Joshua Snoke
Joshua Snoke
Statistician, RAND Corporation
Verifierad e-postadress på rand.org - Startsida
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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
1752018
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
127*2020
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
452021
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
J Snoke, A Slavković
International Conference on Privacy in Statistical Databases, 138-159, 2018
412018
American Instructional Resources Surveys
S Doan, PAZ FERNANDEZ, D Grant, JH Kaufman, CM Setodji, J Snoke, ...
282022
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
172021
How Statisticians Should Grapple with Privacy in a Changing Data Landscape
J Snoke, CMK Bowen
CHANCE 33 (4), 6-13, 2020
132020
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
13*2016
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
112018
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data
AF Barrientos, AR Williams, J Snoke, CMK Bowen
Journal of the American Statistical Association, 1-14, 2023
10*2023
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
9*2017
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
72021
US Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models
S Robson, MC Lytell, M Walsh, KC Hall, KM Keller, V Kilambi, J Snoke, ...
RAND, 2022
3*2022
Leveraging Machine Learning to Improve Human Resource Management: Key Findings and Recommendations for Policymakers
D Schulker, M Walsh, A Calkins, M Graham, CK Montemayor, AA Robbert, ...
RAND, 2024
22024
Differential Privacy: What Is It?
J Snoke, CMK Bowen
AMSTAT news: the membership magazine of the American Statistical Association …, 2019
22019
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
Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2016
22016
Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning
I Cabreros, J Snoke, OA Osoba, I Khan, MN Elliott
12023
Do No Harm Guide: Applying Equity Awareness In Data Privacy Methods
C Bowen, J Snoke
Urban Institute, 2023
12023
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, 2022
12022
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Artiklar 1–20