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)
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