• Assistant Professor of Statistics
• Ph.D., Statistics, 2004, Carnegie Mellon
• M.S., Statistics, Human-Computer Interaction, Carnegie Mellon
• B.A. (honors), Psychology, Duquesne
• Personal web site

Summary of research interests

Dr. Slavković's past and current research interests include usability evaluation methods, human performance in virtual environments, statistical data mining, application of statistics to social sciences, algebraic statistics, and statistical approaches to confidentiality and data disclosure. Her Ph.D. dissertation work focuses on statistical methodologies for disclosure limitation and data confidentiality and presents new theoretical links between disclosure limitation, statistical theory and computational algebraic geometry. It is a unique and interesting integration of diverse results from conditional specification of joint distribution, graphical models, disclosure limitation and algebraic statistics.

Dr. Slavković served as a consultant to the National Academy of Sciences/National Research Council Committee to Review the Scientific Evidence of Polygraph in 2001 and part of 2002. In 2003, she received an honorable mention for the best student paper from the Committee on Statisticians in Defense and National Security of the American Statistical Association.

Representative publications

Fienberg, S.E. and Slavković, A.B. 2004. Preserving the confidentiality of categorical statistical data bases when releasing information for association rules. Data Mining and Knowledge Discovery Journal. To appear.

Slavković, A. and Sullivant, S. 2004. The space of consistent full conditional distributions is a toric variety. Special Issue of Journal of Symbolic Computation. To appear. math.AG/0405046

S.E. Fienberg and A.B. Slavković. 2004. Making the release of confidential data from multi-way tables count. Chance. Vol.17, 3, 5-10.

Last updated: 11 March 2005