194 citations · 328 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
Multipartition model for multiple change point identification
Ricardo C. Pedroso, Rosangela H. Loschi, Fernando Andrés Quintana
Among the main goals in multiple change point problems are the estimation of the number and positions of the change points, as well as the regime structure in the clusters induced…
The Dependent Dirichlet Process and Related Models
Fernand A. Quintana, Peter Mueller, Alejandro Jara +1
Standard regression approaches assume that some finite number of the response distribution characteristics, such as location and scale, change as a (parametric or nonparametric) fu…
The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions
Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana
Assessing homogeneity of distributions is an old problem that has received considerable attention, especially in the nonparametric Bayesian literature. To this effect, we propose t…
Clustering and Prediction with Variable Dimension Covariates
Garritt L. Page, Fernando A. Quintana, Peter Müller
In many applied fields incomplete covariate vectors are commonly encountered. It is well known that this can be problematic when making inference on model parameters, but its impac…
Dependent Modeling of Temporal Sequences of Random Partitions
Garritt L. Page, Fernando A. Quintana, David B. Dahl
We consider the task of modeling a dependent sequence of random partitions. It is well-known that a random measure in Bayesian nonparametrics induces a distribution over random par…