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SUMMARY:A Risk-Utility Balancing Approach to Generate Synthetic Microdata 
 - Atikur Khan (CSIRO)
DTSTART:20161201T163000Z
DTEND:20161201T173000Z
UID:TALK69456@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Generation of synthetic microdata is one of the promising appr
 oaches to statistical disclosure control of microdata. Methods for generat
 ing synthetic microdata for multivariate continuous variables include nois
 e addition and decomposition of data matrix. We present a framework to gen
 erate synthetic data matrix based on resampling from Stiefel manifold and 
 application of Slutsky&rsquo\;s theorem in singular value decomposition. W
 e also derive utility and risk measures based on this theorem and present 
 a risk-utility balancing approach to generate synthetic continuous microda
 ta. We apply our proposed methods to some reference microdata sets and dem
 onstrate the usefulness of our proposed methods. <br><br><br>
LOCATION:Seminar Room 2\, Newton Institute
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