3 citations · 5 across the 5 of their papers we have counts for
5 papers
Algorithmic Bayesian Group Gibbs Selection
Alan Lenarcic, William Valdar
Bayesian model selection, with precedents in George and McCulloch (1993) and Abramovich et al. (1998), support credibility measures that relate model uncertainty, but computation c…
Bayesian Manifold-Constrained-Prior Model for an Experiment to Locate Xce
Alan B. Lenarcic, John D. Calaway, Fernando Pardo-Manuel de Villena +1
We propose an analysis for a novel experiment intended to locate the genetic locus Xce (X-chromosome controlling element), which biases the stochastic process of X-inactivation in…
Permutation tests of non-exchangeable null models
Jeffrey Roach, William Valdar
Generalizations to the permutation test are introduced to allow for situations in which the null model is not exchangeable. It is shown that the generalized permutation tests are e…
Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics
Yuying Xie, Yufeng Liu, William Valdar
Gaussian graphical models are widely used to represent conditional dependence among random variables. In this paper, we propose a novel estimator for data arising from a group of G…
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection
Jeremy Sabourin, William Valdar, Andrew Nobel
We describe a simple, efficient, permutation based procedure for selecting the penalty parameter in the LASSO. The procedure, which is intended for applications where variable sele…