Journal Articles

 Barrientos, A.F., Jara, A., Wehrhahn, C. (2017). Posterior convergence rate of a class of Dirichlet process mixture model for compositional data. Statistics and Probability Letters, 120, 45-51.

Barrientos, A.F., Jara, A., Quintana, F.A. (2016). Fully nonparametric regression for bounded data using dependent Bernstein polynomials. To appear in Journal of the American Statistical Association.

González, J., Barrientos, A.F., Quintana, F.A. (2015) Bayesian Nonparametric Estimation of Test Equating Functions with Covariates. Computational Statistics & Data Analysis, 89, 222-244.

Barrientos, A.F., Jara, A., Quintana, F.A. (2015). Bayesian density estimation for compositional data using random Bernstein polynomials. Journal of Statistical Planning and Inference, 166, 116-125.

Barrientos, A.F., Jara, A., Quintana, F.A. (2012). On the support of MacEachern’s dependent Dirichlet processes and extensions. Bayesian Analysis, 7(2): 277–310.

Barrientos, A.F., Olaya, J., González, V. (2007). (A Spline Model for Electricity Demand Forescasting). Revista Colombiana de Estadística, 30(2): 187–202.


Conference Proceedings and Book Chapters

Chen, Y., Machanavajjhala, A., Reiter, J.P., Barrientos, A.F. (2016) Differentially private regression diagnostics. IEEE International Conference on Data Mining.

Jara, A., Barrientos, A.F. (2014). Bayesian nonparametric approaches for the analysis of compositional data based on Bernstein polynomials. Proceedings of the 29th International Workshop on Statistical Modeling, Göttingen, Germany July 2014.

González, J., Barrientos, A.F., Quintana, F.A. (2013). A dependent Bayesian nonparametric model for test equating. In Millsap, R.E., Bolt, D.M., van der Ark, L.A., Wang, W.-C. (Eds.) New Developments in Quantitative Psychology Presentations from the 78th Annual Psychometric Society Meeting. Springer Proceedings in Mathematics & Statistics, Vol. 89 .