1 citations · 1 across the 6 of their papers we have counts for
7 papers
Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models
Madelyn Clinch, Jonathan R. Bradley, Andrés F. Barrientos +1
Gaussian mixtures of regressions are commonly implemented via a Gibbs sampler. This Markov chain Monte Carlo (MCMC) algorithm can be computationally burdensome because of the need…
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…
Nonparametric Multivariate Profile Monitoring Via Tree Ensembles
Daniel A. Timme, Andrés F. Barrientos, Eric Chicken +1
Monitoring random profiles over time is used to assess whether the system of interest, generating the profiles, is operating under desired conditions at any time-point. In practice…
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Joshua Snoke, Claire McKay Bowen, Aaron R. Williams +1
The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highligh…
A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts
Michelle Pistner Nixon, Andrés F. Barrientos, Jerome P. Reiter +1
Several algorithms exist for creating differentially private counts from contingency tables, such as two-way or three-way marginal counts. The resulting noisy counts generally do n…
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…