Gabriel Huerta

According to our database, Gabriel Huerta authored at least 9 papers between 2006 and 2025.

Collaborative distances:

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

2025

Elastic Bayesian Model Calibration.

Devin Francom, J. Derek Tucker, Gabriel Huerta, Kurtis Shuler, Daniel Ries

SIAM/ASA J. Uncertain. Quantification, 2025

Enhancing approximate modular Bayesian inference by emulating the conditional posterior.

Grant Hutchings, Kellin N. Rumsey, Derek Bingham, Gabriel Huerta

Comput. Stat. Data Anal., 2025

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

Risk-Adapted Optimal Experimental Design.

Drew P. Kouri, John D. Jakeman, J. Gabriel Huerta

SIAM/ASA J. Uncertain. Quantification, 2022

2020

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

2018

Distinguishing between model- and data-driven inferences for high reliability statistical predictions.

Lauren Hund, Benjamin Schroeder, Kellin N. Rumsey, Gabriel Huerta

Reliab. Eng. Syst. Saf., 2018

2017

Dynamic generalized extreme value modeling via particle filters.

Yonghua Wei, Gabriel Huerta

Commun. Stat. Simul. Comput., 2017

2016

Non-parametric Sampling Approximation via Voronoi Tessellations.

Alejandro Villagran, Gabriel Huerta, Marina Vannucci, Charles S. Jackson, Alvaro Nosedal

Commun. Stat. Simul. Comput., 2016

2006

Multivariate time series modeling and classification via hierarchical VAR mixtures.

Raquel Prado, Francisco Molina, Gabriel Huerta

Comput. Stat. Data Anal., 2006