• 602 Citations
  • 14 h-Index
19992019
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Fingerprint Dive into the research topics where Aleksandra B. Slavkovic is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Contingency Table Mathematics
Privacy Mathematics
Disclosure Mathematics
Logistics Engineering & Materials Science
Statistical methods Engineering & Materials Science
Synthetic Data Mathematics
Tables Mathematics
Markov Basis Mathematics

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Research Output 1999 2019

Stephen elliott fienberg 1942-2016, founding editor of the annual review of statistics and its application

Carriquiry, A. L., Reid, N. & Slavkovic, A. B., Mar 7 2019, In : Annual Review of Statistics and Its Application. 6, p. 1-18 18 p.

Research output: Contribution to journalReview article

Open Access
Annual
Statistics
Sweeping
Leadership
Categorization
1 Citation (Scopus)

Differentially private model selection with penalized and constrained likelihood

Lei, J., Charest, A. S., Slavkovic, A., Smith, A. & Fienberg, S., Jun 2018, In : Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 609-633 25 p.

Research output: Contribution to journalArticle

Model Selection
Privacy
privacy
Likelihood
Statistical Disclosure Control

Differentially private uniformly most powerful tests for binomial data

Awan, J. & Slavkovic, A. B., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 4208-4218 11 p.

Research output: Contribution to journalConference article

Random variables
Processing
3 Citations (Scopus)

General and specific utility measures for synthetic data

Snoke, J., Raab, G. M., Nowok, B., Dibben, C. & Slavkovic, A. B., Jun 1 2018, In : Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 663-688 26 p.

Research output: Contribution to journalArticle

Synthetic Data
Synthesis
Propensity Score
Disclosure
Mean Squared Error
2 Citations (Scopus)

pMSE mechanism: Differentially private synthetic data with maximal distributional similarity

Snoke, J. & Slavkovic, A. B., Jan 1 2018, Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2018, Proceedings. Montes, F. & Domingo-Ferrer, J. (eds.). Springer Verlag, p. 138-159 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11126 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Synthetic Data
Linear regression
Privacy
Gini Index
Similarity