Andrés F. Barrientos

According to our database, Andrés F. Barrientos authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Differentially private methods for managing model uncertainty in linear regression.

Víctor Peña, Andrés F. Barrientos

J. Mach. Learn. Res., 2024

Statistical Inference for Privatized Data with Unknown Sample Size.

Jordan Awan, Andres Felipe Barrientos, Nianqiao Ju

CoRR, 2024

2022

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

2021

Nonlinear profile monitoring with single index models.

Takayuki Iguchi, Andrés F. Barrientos, Eric Chicken, Debajyoti Sinha

Qual. Reliab. Eng. Int., 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

A Bayesian goodness-of-fit test for regression.

Andrés F. Barrientos, Antonio Canale

Comput. Stat. Data Anal., 2021

2018

Is my model any good: differentially private regression diagnostics.

Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter

Knowl. Inf. Syst., 2018

2016

Differentially Private Regression Diagnostics.

Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Bayesian nonparametric estimation of test equating functions with covariates.

Jorge González, Andrés F. Barrientos, Fernando A. Quintana

Comput. Stat. Data Anal., 2015