Abstract:
Most survey organizations and statistical agencies while releasing microdata to the public use some statistical disclosure limitation (SDL) methods to protect disclosure risk. Commonly used methods are data swapping, multiple imputation, top/bottom code, and noise perturbation. In this talk I will discuss a method of data analysis under noise multiplication from two points of view: privacy protection from an intruder (agency) and quantile estimation (users).
Speaker
Prof Bimal Sinha
Research Area
Statistics Seminar
Affiliation
Univeristy of Maryland
Date
Fri, 05/10/2012 - 4:00pm to 5:00pm
Venue
OMB-145, Old Main Building, UNSW Kensington Campus