Search

Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models

Practical Data Synthesis for Large Samples

67-97

On Regression-Tree-Based Synthetic Data Methods for Business Data

Multiple Imputation for Disclosure Limitation: Future Research Challenges

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data

Model Selection when multiple imputation is used to protect confidentiality in public use data

Statistical Disclosure Limitation: New Directions and Challenges

Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples

Estimating Risks of Identification Disclosure in Partially Synthetic Data

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses

Data Confidentiality: The Next Five Years Summary and Guide to Papers

Remembering Stephen Fienberg

Estimation of Regression Parameters from Noise Multiplied Data