Andrés F. Barrientos

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Jerome ReiterDuke UniversityVerified email at duke.edu
Alejandro JaraDepartament of Statistics, Pontificia Universidad Católica de ChileVerified email at uc.cl
Fernando Andrés QuintanaPontificia Universidad Católica de ChileVerified email at uc.cl
Ashwin MachanavajjhalaAssociate Professor, Duke UniversityVerified email at cs.duke.edu
Yan ChenDuke UniversityVerified email at cs.duke.edu
Jorge Andres Gonzalez BurgosAssociate Professor, Pontificia Universidad Católica de ChileVerified email at mat.uc.cl
Alexander BoltonAssociate Professor of Political Science, Emory UniversityVerified email at emory.edu
John M. de FigueiredoDuke UniversityVerified email at duke.edu
Víctor PeñaUniversitat Politècnica de CatalunyaVerified email at upc.edu
Claire McKay BowenUrban InstituteVerified email at urban.org
Joshua SnokeStatistician, RAND CorporationVerified email at rand.org
Olanrewaju AkandePhD in Statistical Science, Duke UniversityVerified email at duke.edu
Aleksandra SlavkovicPenn State UniversityVerified email at stat.psu.edu
Luis Gutierrez InostrozaPontificia Universidad Católica de ChileVerified email at mat.uc.cl
Daniel Taylor-RodriguezAssistant Professor, Portland State UniversityVerified email at pdx.edu
debajyoti sinhaFLORIDA STATE UNIVERSITYVerified email at stat.fsu.edu
Takayuki IguchiAir Force Institute of TechnologyVerified email at au.af.edu
Garritt L. PageBrigham Young UniversityVerified email at stat.byu.edu
Antonio CanaleAssociate professor, University of PadovaVerified email at stat.unipd.it
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu

Andrés F. Barrientos

Florida State University

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Bayesian Nonparametrics Data Privacy


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On the support of MacEachern’s dependent Dirichlet processes and extensions AF Barrientos, A Jara, FA Quintana	100	2012
Differentially private significance tests for regression coefficients AF Barrientos, JP Reiter, A Machanavajjhala, Y Chen Journal of Computational and Graphical Statistics 28 (2), 440-453, 2019	64	2019
Un modelo spline para el pronóstico de la demanda de energía eléctrica AF Barrientos, J Olaya, VM González Revista Colombiana de Estadística 30 (2), 187-202, 2007	49	2007
Differentially Private Regression Diagnostics. Y Chen, A Machanavajjhala, JP Reiter, AF Barrientos ICDM, 81-90, 2016	37	2016
Fully nonparametric regression for bounded data using dependent Bernstein polynomials AF Barrientos, A Jara, FA Quintana Journal of the American Statistical Association 112 (518), 806-825, 2017	31	2017
Providing access to confidential research data through synthesis and verification: An application to data on employees of the US federal government AF Barrientos, A Bolton, T Balmat, JP Reiter, JM de Figueiredo, ...	30	2018
Bayesian density estimation for compositional data using random Bernstein polynomials AF Barrientos, A Jara, FA Quintana Journal of Statistical Planning and Inference 166, 116-125, 2015	25	2015
A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control L Gutiérrez, AF Barrientos, J González, D Taylor-Rodríguez	15	2019
Bayesian nonparametric estimation of test equating functions with covariates J González, AF Barrientos, FA Quintana Computational statistics & data analysis 89, 222-244, 2015	14	2015
A dependent Bayesian nonparametric model for test equating J González, AF Barrientos, FA Quintana Quantitative Psychology Research: The 78th Annual Meeting of the …, 2015	11	2015
Bayesian bootstraps for massive data AF Barrientos, V Peña	9	2020
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data AF Barrientos, AR Williams, J Snoke, CMK Bowen Journal of the American Statistical Association 119 (545), 52-65, 2024	8	2024
Multiple imputation of missing values in household data with structural zeros O Akande, J Reiter, AF Barrientos arXiv preprint arXiv:1707.05916, 2017	8	2017
Simultaneous edit and imputation for household data with structural zeros O Akande, A Barrientos, JP Reiter Journal of Survey Statistics and Methodology 7 (4), 498-519, 2019	7	2019
Is my model any good: differentially private regression diagnostics Y Chen, AF Barrientos, A Machanavajjhala, JP Reiter Knowledge and Information Systems 54 (1), 33-64, 2018	7	2018
Nonlinear profile monitoring with single index models T Iguchi, AF Barrientos, E Chicken, D Sinha Quality and Reliability Engineering International 37 (7), 3004-3017, 2021	6	2021
Differentially private methods for managing model uncertainty in linear regression models V Peña, AF Barrientos arXiv preprint arXiv:2109.03949, 2021	6	2021
Bayesian inferences on uncertain ranks and orderings: Application to ranking players and lineups AF Barrientos, D Sen, GL Page, DB Dunson Bayesian Analysis 18 (3), 777-806, 2023	5	2023
A latent class modeling approach for differentially private synthetic data for contingency tables M Nixon, A Barrientos, J Reiter, A Slavkovic Journal of Privacy and Confidentiality 12 (1), 2022	5*	2022
Fully nonparametric regression for bounded data using dependent Bernstein polynomials AF Barrientos, A Jara, FA Quintana Technical report, 2012	5	2012

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