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20202025
most citedBayesian Non-Parametric Detection Heterogeneity in Ecological Models

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Bayesian nonparametric modeling of mixed-type bounded data

Rufeng Liu, Claudia Wehrhahn, Andrés F. Barrientos +1

We propose a Bayesian nonparametric model for mixed-type bounded data, where some variables are compositional and others are interval-bounded. Compositional variables are non-negat…

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.ME2021

Computational strategies and estimation performance with Bayesian semiparametric Item Response Theory models

Sally Paganin, Christopher J. Paciorek, Claudia Wehrhahn +3

Item response theory (IRT) models typically rely on a normality assumption for subject-specific latent traits, which is often unrealistic in practice. Semiparametric extensions bas…

stat.AP2020★ 14 cited

Bayesian Non-Parametric Detection Heterogeneity in Ecological Models

Daniel Turek, Claudia Wehrhahn, Olivier Gimenez

Detection heterogeneity is inherent to ecological data, arising from factors such as varied terrain or weather conditions, inconsistent sampling effort, or heterogeneity of individ…

stat.AP2020★ 1 cited

A Copula-based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers in the Mexico City Diabetes Study

Claudia Wehrhahn, Ruth Fuentes-García, Ramsés H. Mena +3

Cardiovascular disease lead the cause of death world wide and several studies have been carried out to understand and explore cardiovascular risk markers in normoglycemic and diabe…