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ORCIDAndrés F. Barrientos
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Journal Articles
- 2024
[j7]Víctor Peña, Andrés F. Barrientos:
Differentially private methods for managing model uncertainty in linear regression. J. Mach. Learn. Res. 25: 74:1-74:44 (2024)- 2022
- [j6]Michelle Nixon, Andrés F. Barrientos
, Jerome P. Reiter, Aleksandra B. Slavkovic:
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. J. Priv. Confidentiality 12(1) (2022) - 2021
- [j5]Andrés F. Barrientos, Antonio Canale:
A Bayesian goodness-of-fit test for regression. Comput. Stat. Data Anal. 155: 107104 (2021) - [j4]Claudia Wehrhahn, Alejandro Jara, Andrés F. Barrientos:
On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals. Commun. Stat. Simul. Comput. 50(3): 786-810 (2021) - [j3]Takayuki Iguchi, Andrés F. Barrientos, Eric Chicken, Debajyoti Sinha:
Nonlinear profile monitoring with single index models. Qual. Reliab. Eng. Int. 37(7): 3004-3017 (2021) - 2018
- [j2]Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter:
Is my model any good: differentially private regression diagnostics. Knowl. Inf. Syst. 54(1): 33-64 (2018) - 2015
- [j1]Jorge González, Andrés F. Barrientos, Fernando A. Quintana:
Bayesian nonparametric estimation of test equating functions with covariates. Comput. Stat. Data Anal. 89: 222-244 (2015)
Conference and Workshop Papers
- 2016
- [c1]Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos:
Differentially Private Regression Diagnostics. ICDM 2016: 81-90
Informal and Other Publications
- 2023
- [i1]Joshua Snoke, Claire McKay Bowen, Aaron R. Williams, Andrés F. Barrientos:
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. CoRR abs/2309.16703 (2023)
Coauthor Index
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