194 citations · 328 across the 12 of their papers we have counts for
17 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…
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…
Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity
Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana +3
Overweight and obesity in adults are known to be associated with risks of metabolic and cardiovascular diseases. Because obesity is an epidemic, increasingly affecting children, it…
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…