PAPERS

  • Bayesian models for elevated disease risk due to exposure to uranium mine and mill waste on the Navajo Nation Paper

  • Villagran, A., Huerta, G., Vannucci, M., Jackson, C. and Nosedal, A. (2013). Non-Parametric Sampling Approximation via Voronoi Tessellations. Paper

  • Huerta, G. and Stark, G.A. (2013) Dynamic and spatial modeling of block maxima extremes. Bayesian Inference and Markov Chain Monte Carlo: In Honor of Adrian Smith. Oxford University Press, Ch. 10 pp. 183-199. Paper

  • Huerta, G. (2010) Bayes Wavelet Shrinkage. Wiley Interdisciplinary Reviews Vol.2 pp. 668-672. Paper

  • Jackson, C.S., Sen, M.K., P.L. Stoffa and G. Huerta (2010) Data Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation. In Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications, (Eds: M. Parashar, X. Li and S. Chandra). John Wiley and Sons, pp 65-78. Link Paper

  • Ying, W, Huerta, G., Steinberg, S. and Zuniga, M. (2009) Time Series Analysis of Particle Tracking Data for Molecular Motion on the Cell Membrane. Bulletin of Mathematical Biology, Vol. 71, No. 8, 1967-2024. Link Paper

  • Villagran, A., Huerta, G., Jackson, C.S. and Sen, M.K. (2008) Computational Methods for Parameter Estimation in Climate Models. Bayesian Analysis, Vol 3, 823-850. Paper

  • Jackson, C.S., Sen, M.K., Huerta, G. Deng, Y. and Bowman, K.P. (2008) Error Reduction and Convergence in Climate Prediction. Journal of Climate. Vol. 21, Issue 24, pp. 6698-6709. Paper

  • Huerta G. and Sanso B. (2007) Time-Varying Models for Extreme Values. Environmental and Ecological Statistics . Vol. 14, No. 3, pp. 285-299. Paper

  • Prado, R. , Molina, F. and G. Huerta (2006) Multivariate Time Series Modeling Classification via Hierarchical VAR Mixtures. Computational Statistics and Data Analysis Vol. 51 (3), pp. 1445-1462 Paper

  • Huerta G. and Prado R. (2006) Structured priors for multivariate time series Journal of Statistical Planning and Inference Vol. 136, 11, 3802-3821. Paper

  • Villagran A. and Huerta, G. (2006). Bayesian Inference on Mixture-of-Experts for Estimation of Stochastic Volatility Econometric Analysis of Financial and Economic Time Series/Part B. Advances in Econometrics. Vol. 20, 277-296. Paper

  • Huerta G. (2005). Multivariate Bayes Wavelet shrinkage and applications Journal of Applied Statistics . Vol. 32, 5, 529-542. Paper

  • Huerta G. and Prado R. (2005) Finding common structure in multiple time series via structured priors for autoregressive processes Estadistica, Instituto Interamericano de Estadistica. Vol. 57, 123-139 Paper

  • Huerta G., Sanso; B. and Stroud J.R. (2004) A Spatio-Temporal Model for Mexico City Ozone Levels Journal of the Royal Statistical Society Series C (Applied Statistics) Vol 53,2, 231-248. Paper

  • Huerta G., Jiang W. and Tanner M. (2003). Time series modeling via hierarchical mixtures. Statistica Sinica Vol 13, No.4, 1097-1118 Paper

  • Prado R. and Huerta G. (2002). Time-varying autoregressions with model order uncertainty. Journal of Time Series Analysis Vol. 23, No.5., 599-618. Paper

  • Huerta G., Jiang W. and Tanner M. (2001). Discussion Article: Mixture of Time Series Models. Journal of Computational and Graphical Statistics , Vol. 10, No. 1, 82-89. Paper

  • Huerta G. and Lopes H.F. (2000). Bayesian forecasting and inference in latent structure for the Brazilian industrial production index. Journal of Brazilian Econometrics Vol. 20, No.1, 1-26. Paper

  • Prado, R. , Huerta, G. and West, M. (2000). Time-varying Autoregressions: Theory, Methods and Applications. Resenhas IME-USP Vol. 4, No. 4, 405-422. Paper

  • Stangl D. and Huerta G. (2000). Using Bayesian hierarchical models to assess the impact of managed-care strategies. Lifetime Data Analysis, 6, 123-139. Paper

  • Huerta G. and West M. (1999). Priors and component structures in autoregressive time series models. Journal of the Royal Statistical Society, Series B, No. 61, 881-899. Link

  • Huerta G. and West M. (1999). Bayesian inference on periodicities and component spectral structure in time series. Journal of Time Series Analysis, Vol. 20, No. 4, pp. 401-416. Link

  • Aguilar O., Huerta G., Prado R. and West M. (1999). Bayesian inference on latent structure in time series. In Bayesian Statistics 6 (Eds: Bernardo, et.al), Oxford University Press, 3-26. Link

  • Huerta G. and West M. (1998) Bayesian inference for unequally-spaced time series Proceedings Joint Statistical Meetings ASA 98, Section in Bayesian Statistics 17-21. Link

  • Huerta, G. and Mendoza, M. (1996). A bayesian approach for sample size selection in a multiple hypotheses test for the Bernoulli model. Journal of Applied Statistics, Vol. 23, No.4, 385-394.

  • Huerta, G. and Mendoza, M. (1993). The sample size in a problem of seed classification (in Spanish). Agrociencia Vol. 4, No. 2, 143-159.




    CURRENT FUNDING

  • Department of Energy (DOE) Link