Publications

Garrett, R.C., Shand, L., Huerta, J.G., & Huerta, J.G. (2025). A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption [Presentation]. Environmetrics. 10.1002/env.70030

Brown, J.L., Davis, J., Tucker, J.D., Huerta, J.G., Shuler, K., & Shuler, K. (2023). Quantifying uncertainty in analysis of shockless dynamic compression experiments on platinum. II. Bayesian model calibration. Journal of Applied Physics, 134(23). 10.1063/5.0173652

Ries, D., Huerta, J.G., & Huerta, J.G. (2023). Predicting fatigue from heart rate signatures using functional logistic regression. Stat, 12(1). 10.1002/sta4.595

Garrett, R.C., Shand, L., Huerta, J.G., & Huerta, J.G. (2023). A Multivariate Space-Time Dynamic Model for characterizing pathways following the 1991 Mt Pinatubo volcanic eruption [Conference Presentation]. 10.2172/2430676

Campos, M., McCombs, A.L., Li, J.D., Huerta, J.G., Shand, L., & Shand, L. (2023). ADVANCEMENTS IN ENVIRONMENTAL STATISTICS CONCERNING MULTIPLEDATA SOURCES. https://www.osti.gov/biblio/2430738

Shuler, K., Brown, J.L., Francom, D., Tucker, J.D., Huerta, J.G., Ries, D., & Ries, D. (2023). Bayesian Model Calibration for Functional Data Using Elastic Alignment [Conference Presentation]. 10.2172/2431056

Shand, L., Li, J.D., Campos, M., Huerta, J.G., McCombs, A.L., & McCombs, A.L. (2023). Data Fusion with Uncertainty Quantification for Observational Data [Conference Presentation]. 10.2172/2431013

McCombs, A.L., Li, J.D., Shand, L., Huerta, J.G., Campos, M., & Campos, M. (2023). Data Fusion of Temperature Datasets Using INLA. https://www.osti.gov/biblio/2430854

Campos, M., McCombs, A.L., Li, J.D., Huerta, J.G., Shand, L., & Shand, L. (2023). Final Exam Presentation. https://www.osti.gov/biblio/2430777

Shand, L., Huerta, J.G., Garrett, R.C., & Garrett, R.C. (2023). A Multivariate Space-Time Dynamic Modelfor characterizing downstream impacts of the 1991 Mt Pinatubo volcanic eruption [Conference Presentation]. 10.2172/2431366

Garrett, R.C., Shand, L., Huerta, J.G., & Huerta, J.G. (2023). A multivariate space-time dynamic model for characterizing pathways following the Mt. Pinatubo Eruption [Conference Presentation]. 10.2172/2431400

Patel, L., McGeehan, D., Schwertner-Watson, E.K., Shakamuri, M., Huerta, J.G., Christensen, F., & Christensen, F. (2023). Toward real-time intrusion detection in cyber networks [Conference Presentation]. 10.2172/2431615

Zhang, A., McCombs, A.L., Ausdemore, M., Ries, D., Tucker, J.D., Huerta, J.G., Goode, K., Shuler, K., & Shuler, K. (2022). A Functional Statistical Modeling Approach to Using Plutonium Particle Features from Scanning Electron Microscope Images [Conference Presentation]. 10.2172/2004704

Foulk, J.W., Portone, T., Dandekar, R., Rackauckas, C., Bandy, R.J., Huerta, J.G., Dytzel, I., & Dytzel, I. (2022). Model-Form Epistemic Uncertainty Quantification for Modeling with Differential Equations: Application to Epidemiology. 10.2172/1888443

Shand, L., Huerta, J.G., Garrett, R.C., & Garrett, R.C. (2022). Modeling Spatiotemporal Trends following the Mt. Pinatubo Eruption [Conference Poster]. 10.2172/2004520

Brown, J.L., Davis, J., Huerta, J.G., Tucker, J.D., Shuler, K., & Shuler, K. (2022). Bayesian methods to extract cold curves from shockless compression experiments on the Z machine [Conference Presentation]. 10.2172/2003945

Jakeman, J.D., Kouri, D.P., Huerta, J.G., & Huerta, J.G. (2022). Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. Reliability Engineering and System Safety, 221. 10.1016/j.ress.2021.108280

Rushdi, A., Foulk, J.W., Huerta, J.G., Neal, K.D., Dytzel, I., Rider, W.J., & Rider, W.J. (2022). Quantifying Uncertainty in Machine Learning Models for Time Series Classification [Conference Presentation]. 10.2172/2002430

Shuler, K., Ries, D., Huerta, J.G., Tucker, J.D., Zhang, A., Goode, K., Ausdemore, M., & Ausdemore, M. (2022). Texture in Scanning Electron Microscope Images to infer Material Processing Conditions [Conference Presentation]. 10.2172/2002095

Campione, S., Stephens, J.A., Martin, N., Eckert, A., Warne, L.K., Huerta, J.G., Pfeiffer, R.A., Jones, A., & Jones, A. (2021). Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities. Journal of Verification, Validation and Uncertainty Quantification, 6(4). 10.1115/1.4051906

Jakeman, J.D., Kouri, D.P., Huerta, J.G., & Huerta, J.G. (2021). Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk [Conference Presentation]. 10.2172/1889571

Kouri, D.P., Jakeman, J.D., Huerta, J.G., Walsh, T., Smith, C., Uryasev, S., & Uryasev, S. (2021). Risk-Adaptive Experimental Design for High-Consequence Systems: LDRD Final Report. 10.2172/1820307

Jakeman, J.D., Kouri, D.P., Huerta, J.G., & Huerta, J.G. (2021). Surrogate Modeling For Efficiently Accurately and Conservatively Estimating Measures of Risk. 10.2172/1807455

Jelsema, C.M., Red-Horse, J., Rutherford, B., Huerta, J.G., Eckert, A., & Eckert, A. (2021). Gemma V&V/UQ/Credibility Activities: FY2020 Progress. 10.2172/1855022

Rumsey, K.N., Huerta, J.G., & Huerta, J.G. (2021). Fast matrix algebra for Bayesian model calibration. Journal of Statistical Computation and Simulation, 91(7), pp. 1331-1341. 10.1080/00949655.2020.1850729

Jones, A., Campione, S., Stephens, J.A., Eckert, A., Warne, L.K., Huerta, J.G., Pfeiffer, R.A., & Pfeiffer, R.A. (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC [Conference Presentation]. 10.2172/1837143

Patel, L., Shand, L., Tucker, J.D., Huerta, J.G., & Huerta, J.G. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Proceeding]. https://www.osti.gov/biblio/1825584

Campione, S., Warne, L.K., Langston, W.L., Pfeiffer, R.A., Martin, N.S., Williams, J.T., Gutierrez, R.K., Reines, I.C., Huerta, J.G., Dang, V.Q., & Dang, V.Q. (2020). Penetration through Slots in Cylindrical Cavities Operating at Fundamental Cavity Modes. IEEE Transactions on Electromagnetic Compatibility, 62(5), pp. 1980-1988. 10.1109/TEMC.2020.2977600

Patel, L., Huerta, J.G., Shand, L., Miller, W.K., Tucker, J.D., & Tucker, J.D. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1811818

Hansen, C., Catanach, T.A., Glover, A.M., Huerta, J.G., Stuart, Z., Guttromson, R., & Guttromson, R. (2020). Modeling Failure of Electrical Transformers due to Effects of a HEMP Event. 10.2172/1644736

Campione, S., Warne, L.K., Langston, W.L., Pfeiffer, R.A., Martin, N.S., Reines, I.C., Williams, J.T., Gutierrez, R.K., Huerta, J.G., Dang, V.Q., & Dang, V.Q. (2020). Modeling Penetration through Slots and Improving Shielding Effectiveness in High-Quality Factor Resonant Cavities [Conference Poster]. https://www.osti.gov/biblio/1804642

Patel, L., Huerta, J.G., Shand, L., Miller, W.K., Tucker, J.D., & Tucker, J.D. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1783652

Rumsey, K., Huerta, J.G., & Huerta, J.G. (2020). Embracing unidentifiability in Bayesian model calibration with modularization [Conference Poster]. https://www.osti.gov/biblio/1768161

Rumsey, K., Huerta, J.G., Brown, J.L., Hund, L., & Hund, L. (2020). Dealing with measurement uncertainties as nuisance parameters in bayesian model calibration. SIAM-ASA Journal on Uncertainty Quantification, 8(4), pp. 1287-1309. 10.1137/19m1283707

Divis, K.M., Abbott, R.G., Branda, C., Avina, G.E., Femling, J., Huerta, J.G., Jelinkova, L., Jennings, J.K., Pearce, E., Ries, D., Sanchez, D.N., Silva, A.R., & Silva, A.R. (2019). Rim-to-Rim Werables at The Canyon for Health (R2R WATCH): Physiological Cognitive and Biological Markers of Performance Decline in an Extreme Environment. Journal of Human Performance in Extreme Environments. https://www.osti.gov/biblio/1618077

Campione, S., Warne, L.K., Langston, W.L., Pfeiffer, R.A., Martin, N.S., Reines, I.C., Williams, J.T., Gutierrez, R.K., Huerta, J.G., Dang, V.Q., & Dang, V.Q. (2019). Modeling Penetration through Slots and Improving Shielding Effectiveness in High-Quality Factor Resonant Cavities [Conference Poster]. https://www.osti.gov/biblio/1761571

Campione, S., Stephens, J.A., Martin, N.S., Eckert, A., Warne, L.K., Huerta, J.G., Pfeiffer, R.A., Jones, A., & Jones, A. (2019). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC PROBLEMS OF HIGHLY RESONANT CAVITIES USING DAKOTA [Conference Poster]. https://www.osti.gov/biblio/1761295

Rumsey, K., Huerta, J.G., Hund, L., & Hund, L. (2019). Robust Inference for Physical Parameters with Bayesian Model Calibration [Conference Poster]. https://www.osti.gov/biblio/1643113

Huerta, J.G., Rumsey, K., Hund, L., Tucker, J.D., & Tucker, J.D. (2019). "Learn something new: techniques for broadening your statistical skillset" [Conference Poster]. https://www.osti.gov/biblio/1641376

Huerta, J.G., Rumsey, K., Nieto, L., & Nieto, L. (2018). Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Process [Conference Poster]. https://www.osti.gov/biblio/1573313

Rumsey, K., Huerta, J.G., Tucker, J.D., Brown, J.L., Simonson, K.M., Hund, L., & Hund, L. (2018). Dealing with nuisance parameters in Bayesian model calibration [Presentation]. https://www.osti.gov/biblio/1806683

Huerta, J.G., Rumsey, K., Nieto, L., & Nieto, L. (2018). Temporal latent processes for heavy-tailed data [Conference Poster]. https://www.osti.gov/biblio/1530132

Hund, L., Rumsey, K., Huerta, J.G., Tucker, J.D., Simonson, K.M., Brown, J.L., Mueller, P., & Mueller, P. (2018). Power likelihood methods for model calibration [Conference Poster]. https://www.osti.gov/biblio/1524956

Rumsey, K., Huerta, J.G., Tucker, J.D., Brown, J.L., Simonson, K.M., Hund, L., & Hund, L. (2018). Dealing with nuisance parameters in Bayesian model calibration [Conference Poster]. https://www.osti.gov/biblio/1507826

Huerta, J.G. (2018). Sequential Monte Carlo Smoothing with Parameter Estimation [Presentation]. https://www.osti.gov/biblio/1510635

Rumsey, K., Huerta, J.G., Tucker, J.D., Brown, J.L., Simonson, K.M., Hund, L., & Hund, L. (2018). Dealing with nuisance parameters in Bayesian model calibration [Conference Poster]. https://www.osti.gov/biblio/1499232