activity
20112022
most citedBayesian semiparametric inference for multivariate doubly-interval-censored data

61 citations · 61 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST2022

On Dependent Dirichlet Processes for General Polish Spaces

Andres Iturriaga, Carlos A. Sing Long, Alejandro Jara

We study Dirichlet process-based models for sets of predictor-dependent probability distributions, where the domain and predictor space are general Polish spaces. We generalize the…

stat.ME2021

Grid-Uniform Copulas and Rectangle Exchanges: Bayesian Model and Inference for a Rich Class of Copula Functions

Nicolás Kuschinski, Alejandro Jara

Copula-based models provide a great deal of flexibility in modelling multivariate distributions, allowing for the specifications of models for the marginal distributions separately…

stat.ME2021

Dependent Bayesian nonparametric modeling of compositional data using random Bernstein polynomials

Claudia Wehrhahn, Andrés F. Barrientos, Alejandro Jara

We discuss Bayesian nonparametric procedures for the regression analysis of compositional responses, that is, data supported on a multivariate simplex. The procedures are based on…

stat.ME2020

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…

stat.AP2011★ 61 cited

Bayesian semiparametric inference for multivariate doubly-interval-censored data

Alejandro Jara, Emmanuel Lesaffre, Maria De Iorio +1

Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a funct…