ORCID Profile
0000-0003-0781-8166
Current Organisation
Hong Kong University of Science and Technology
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Publisher: Wiley
Date: 12-2005
Publisher: Wiley
Date: 06-10-2022
DOI: 10.1002/ASMB.2650
Abstract: In this article, we extend the skew‐t data perturbation (STDP) to develop a new statistical disclosure control (SDC) method for data with continuous variables. In this new SDC method, we construct an extended skew‐t (EST) copula to release confidential data for third‐party usage. Using the EST copula for producing perturbed data, we can incorporate rich statistical information in the perturbed data while preserving the marginal distributions of the data. An advancement of this EST‐SDC method is to use a copula distribution, which allows generation of perturbed data from bivariate conditional EST copulas sequentially. We discuss the methodology of EST‐SDC and outline some statistical properties derived from copula theories. Simulations and a real data study are included to demonstrate how the EST‐SDC method can be applied and to compare with the STDP method.
Publisher: Elsevier BV
Date: 12-2006
Publisher: Elsevier BV
Date: 08-2014
Publisher: Informa UK Limited
Date: 26-11-2022
Publisher: Elsevier BV
Date: 07-2011
Publisher: Elsevier BV
Date: 09-2008
Publisher: Springer Science and Business Media LLC
Date: 28-08-2011
Publisher: Wiley
Date: 2005
DOI: 10.1002/ASMB.600
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Mike Ka Pui So.