3 citations · 6 across the 5 of their papers we have counts for
5 papers
Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
Andrew M. Raim, Kyle M. Irimata, James A. Livsey
When formulating a Gibbs sampler, some conditionals may be unfamiliar distributions without well-known variate generation routines. Rejection sampling may be used to draw from such…
Toward a Principled Framework for Disclosure Avoidance
Michael B Hawes, Evan M Brassell, Anthony Caruso +16
Responsible disclosure limitation is an iterative exercise in risk assessment and mitigation. From time to time, as disclosure risks grow and evolve and as data users' needs change…
Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters
Ryan Janicki, Scott H. Holan, Kyle M. Irimata +2
Formal disclosure avoidance techniques are necessary to ensure that published data can not be used to identify information about individuals. The addition of statistical noise to u…
Rejection Sampling with Vertical Weighted Strips
Andrew M. Raim, James A. Livsey, Kyle M. Irimata
A number of distributions that arise in statistical applications can be expressed in the form of a weighted density: the product of a base density and a nonnegative weight function…
Ecce Signum: An R Package for Multivariate Signal Extraction and Time Series Analysis
Tucker S. McElroy, James A. Livsey
The package provides multivariate time series models for structural analysis, allowing one to extract latent signals such as trends or seasonality. Models are fitted using maximum…