Bayesian nonparametric estimation of test equating functions with covariates. - Jorge González; Andrés F. Barrientos; Fernando A. Quintana (Comput. Stat. Data Anal., 2015)

Differentially Private Regression Diagnostics. - Yan Chen 022; Ashwin Machanavajjhala; Jerome P. Reiter; Andrés F. Barrientos (ICDM, 2016)

Is my model any good: differentially private regression diagnostics. - Yan Chen 022; Andrés F. Barrientos; Ashwin Machanavajjhala; Jerome P. Reiter (Knowl. Inf. Syst., 2018)

A Bayesian goodness-of-fit test for regression. - Andrés F. Barrientos; Antonio Canale (Comput. Stat. Data Anal., 2021)

On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals. - Claudia Wehrhahn; Alejandro Jara; Andrés F. Barrientos (Commun. Stat. Simul. Comput., 2021)

Nonlinear profile monitoring with single index models. - Takayuki Iguchi; Andrés F. Barrientos; Eric Chicken; Debajyoti Sinha (Qual. Reliab. Eng. Int., 2021)

A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. - Michelle Nixon; Andrés F. Barrientos; Jerome P. Reiter; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2022)

Statistical Inference for Privatized Data with Unknown Sample Size. - Jordan Awan; Andres Felipe Barrientos; Nianqiao Ju (CoRR, 2024)

Differentially private methods for managing model uncertainty in linear regression. - Víctor Peña; Andrés F. Barrientos (J. Mach. Learn. Res., 2024)

Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. - Joshua Snoke; Claire McKay Bowen; Aaron R. Williams; Andrés F. Barrientos (J. Priv. Confidentiality, 2024)

Profile Monitoring via Eigenvector Perturbation. - Takayuki Iguchi; Andrés F. Barrientos; Eric Chicken; Debajyoti Sinha (Technometrics, 2025)