8 citations · 20 across the 18 of their papers we have counts for
4 papers · 1 filter
Informed Random Partition Models with Temporal Dependence
Sally Paganin, Garritt L. Page, Fernando Andrés Quintana
Model-based clustering is a powerful tool that is often used to discover hidden structure in data by grouping observational units that exhibit similar response values. Recently, cl…
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…
A Projection Approach to Local Regression with Variable-Dimension Covariates
Matthew J. Heiner, Garritt L. Page, Fernando Andrés Quintana
Incomplete covariate vectors are known to be problematic for estimation and inferences on model parameters, but their impact on prediction performance is less understood. We develo…