1 citations · 1 across the 3 of their papers we have counts for
3 papers
Regression with Variable Dimension Covariates
Peter Mueller, Fernando Andrés Quintana, Garritt L. Page
Regression is one of the most fundamental statistical inference problems. A broad definition of regression problems is as estimation of the distribution of an outcome using a famil…
Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors
Garritt L. Page, Massimo Ventrucci, Maria Franco-Villoria
Finite mixture models are flexible methods that are commonly used for model-based clustering. A recent focus in the model-based clustering literature is to highlight the difference…
Nonparametric Bayesian Approach to Treatment Ranking in Network Meta-Analysis with Application to Comparisons of Antidepressants
Andrés F. Barrientos, Garritt L. Page, Lifeng Lin
Network meta-analysis is a powerful tool to synthesize evidence from independent studies and compare multiple treatments simultaneously. A critical task of performing a network met…