8 citations · 24 across the 9 of their papers we have counts for
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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…
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…
A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data
Darcy Steeg Morris, Andrew M. Raim, Kimberly F. Sellers
Categorical data are often observed as counts resulting from a fixed number of trials in which each trial consists of making one selection from a prespecified set of categories. Th…
An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions
Andrew M. Raim, Nagaraj K. Neerchal, Jorge G. Morel
Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any single subpopulation. St…