Multivariate time series modeling and classification via hierarchical VAR mixtures. - Raquel Prado; Francisco Molina; Gabriel Huerta (Comput. Stat. Data Anal., 2006)

Non-parametric Sampling Approximation via Voronoi Tessellations. - Alejandro Villagran; Gabriel Huerta; Marina Vannucci; Charles S. Jackson; Alvaro Nosedal (Commun. Stat. Simul. Comput., 2016)

Dynamic generalized extreme value modeling via particle filters. - Yonghua Wei; Gabriel Huerta (Commun. Stat. Simul. Comput., 2017)

Distinguishing between model- and data-driven inferences for high reliability statistical predictions. - Lauren Hund; Benjamin Schroeder 003; Kellin N. Rumsey; Gabriel Huerta (Reliab. Eng. Syst. Saf., 2018)

Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration. - Kellin N. Rumsey; Gabriel Huerta; Justin Brown; Lauren Hund (SIAM/ASA J. Uncertain. Quantification, 2020)

Risk-Adapted Optimal Experimental Design. - Drew P. Kouri; John D. Jakeman; J. Gabriel Huerta (SIAM/ASA J. Uncertain. Quantification, 2022)

Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. - John D. Jakeman; Drew P. Kouri; J. Gabriel Huerta (Reliab. Eng. Syst. Saf., 2022)

Enhancing approximate modular Bayesian inference by emulating the conditional posterior. - Grant Hutchings; Kellin N. Rumsey; Derek Bingham; Gabriel Huerta (Comput. Stat. Data Anal., 2025)

Elastic Bayesian Model Calibration. - Devin Francom; J. Derek Tucker; Gabriel Huerta; Kurtis Shuler; Daniel Ries (SIAM/ASA J. Uncertain. Quantification, 2025)