6 citations · 9 across the 4 of their papers we have counts for
4 papers
Aggregated Pairwise Classification of Statistical Shapes
Min Ho Cho, Sebastian Kurtek, Steven N. MacEachern
The classification of shapes is of great interest in diverse areas ranging from medical imaging to computer vision and beyond. While many statistical frameworks have been developed…
Marginally Interpretable Generalized Linear Mixed Models
Jeffrey J. Gory, Peter F. Craigmile, Steven N. MacEachern
Two popular approaches for relating correlated measurements of a non-Gaussian response variable to a set of predictors are to fit a marginal model using generalized estimating equa…
Bandwidth Selection for Kernel Density Estimation with a Markov Chain Monte Carlo Sample
Hang J. Kim, Steven N. MacEachern, Yoonsuh Jung
Markov chain Monte Carlo samplers produce dependent streams of variates drawn from the limiting distribution of the Markov chain. With this as motivation, we introduce novel univar…
Block Hyper-g Priors in Bayesian Regression
Agniva Som, Christopher M. Hans, Steven N. MacEachern
The development of prior distributions for Bayesian regression has traditionally been driven by the goal of achieving sensible model selection and parameter estimation. The formali…