5 papers
The appeal of the gamma family distribution to protect the confidentiality of contingency tables
James Jackson, Robin Mitra, Brian Francis +1
Administrative databases, such as the English School Census (ESC), are rich sources of information that are potentially useful for researchers. For such data sources to be made ava…
Obtaining -differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables
James Jackson, Robin Mitra, Brian Francis +1
We show that differential privacy type guarantees can be obtained when using a Poisson synthesis mechanism to protect counts in contingency tables. Specifically, we show how to obt…
A Complete Characterisation of Structured Missingness
James Jackson, Robin Mitra, Niels Hagenbuch +2
Our capacity to process large complex data sources is ever-increasing, providing us with new, important applied research questions to address, such as how to handle missing values…
On integrating the number of synthetic data sets into the 'a priori' synthesis approach
James Edward Jackson, Robin Mitra, Brian Joseph Francis +1
Until recently, multiple synthetic data sets were always released to analysts, to allow valid inferences to be obtained. However, under certain conditions - including when saturate…
Using saturated count models for user-friendly synthesis of categorical data
James Edward Jackson, Robin Mitra, Brian Joseph Francis +1
Over the past three decades, synthetic data methods for statistical disclosure control have continually evolved, but mainly within the domain of survey data sets. There are certain…