BACKGROUND

RESEARCH

Spatial-temporal models, spatial statistics, spectral methods, computational methods of large data sets, applications in climate and air quality modeling, impacts of air pollution on human health, oceanography, atmospheric and environmental science.
Please contact me for copies of my research papers.

TEACHING


 

SELECTED HONORS AND AWARDS

SELECTED INVITED LECTURES/SYMPOSIA IN 2008

SELECTED ASSISTANCE/LEADERSHIP PROVIDED TO THE COMMUNITY

SELECTED CHAPTERS

  1. Fuentes, M., Doney, S.C., GLove D. M. and McCue S. J. (2000). Spatial structure of ocean color data in the North Atlantic, "Case Studies in Statistics and the Atmospheric Sciences". Springer-Verlag, New York, pp. 153-172.
  2. Fuentes, M. (2002) Spatial interpolation of environmental processes, "Spatial Statistics through Applications". WIT Press, Boston, Chapter 4, pp. 71-104.
  3. Chen, L., Fuentes, M., and Davis J. (2006) Spatial-temporal Statistics for Ecological data, Chapter in Modern Stastical Computation, to appear. Editor Jim Clark and Alan Gelfand. Wiley, New York.
  4. Fuentes, Monserrat, Guttorp, Peter, and Sampson, Paul (2006).Using transforms to analyze space-time processes, chapter in Statistics of Spatio-Temporal Systems, to appear. Editors Held and Finkenstadt. CRC/Chapman Hall .

SELECTED PUBLICATIONS

  1. Choi, J., Fuentes, M. and Reich, B. (2009). Spatial-temporal association between fine particulate matter and daily mortality. Journal of Computational Statistics and Data Analysis, in press.
  2. Choi, J., Reich, B., Fuentes, M., and Davis, J.M. (2008). Multivariate spatial-temporal modeling and prediction of speciated fine particles. Journal of Statistical Theory and Practice, in press.
  3. Fuentes, M., Reich, B., and Lee, G. (2009). Spatial-temporal mesoscale modelling of rainfall intensity using gage and radar data. Annals of Applied Statistics, 4, 1148-1169.
  4. Reich, B., Fuentes, M., and Burke, J. (2008). Analysis of the effects of ultrafine particulate matter while accounting for human exposure. Environmetrics, in press.
  5. Song, H.R., Fuentes, M., Ghosh, S. (2008). A comparative study of Gaussian geostatistical models and Gaussian Markov random field models. Journal of Multivariate analysis, 99,1681-1697.
  6. Park, M.S., and Fuentes, M. (2009).Testing Lack of Symmetry in Spatial-Temporal Processes. Journal of Statistical Planning and Inference, in press.
  7. Foley, M. and Fuentes, (2008). A statistical framework to combine multivariate spatial data and physical models for hurricane surface wind prediction. Journal of Agricultural, Biological, and Environmental Statistics, 13, 37-59
  8. Fuentes, M. (2007) Approximate likelihood for large irregularly spaced spatial data. Journal of the American Statistical Association, Theory and Methods. Vol. 102, No. 477,321-331
  9. Reich, B., and Fuentes, M. (2007). A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields. Annals of Applied Statistics, 1, 249-264.
  10. Fuentes, M., Kittel, T. and Nychka, D. (2006). Sensitivity of ecological models to spatial-temporal estimation of their climate drivers: Statistical ensembles for forcing. Ecological Applications: Vol. 16, No. 1, pp. 99-116.
  11. Fuentes, M., Song, H.R., Ghosh, S., Holland, D. and Davis, J. (2006). Spatial association between speciated particulate matter and mortality. Biometrics, 62, 855-863.
  12. Fuentes, M. (2005). A formal test for nonstationarity of spatial stochastic processes. Journal of Multivariate Analysis, 96, 30-55
  13. Fuentes, M. and Raftery, A. (2005). Model evaluation and spatial interpolation by Bayesian combination of observations with output from numerical models. Biometrics, 61, 36-45.
  14. Fuentes, M.,Chen, L., Davis, J. and Lackmann, G. (2005). A new class of nonseparable and nonstationary covariance models for wind fields. Environmetrics, 16, 449-464.
  15. Fuentes, M. (2004). Testing for separability of spatial-temporal covariance functions. Journal of Statistical Planning and Inference, 136, 447-466.
  16. Fuentes, M. (2003). Statistical analysis of areas of compliance with the air pollution standards. Invited paper for a special issue in Journal of Geophysical Research, Atmosphere, 108 (D24), 8780.
  17. Fuentes, M. (2002). Modeling and prediction of nonstationary spatial processes. Statistical Modelling: An International Journal, 2, 281-298.
  18. Fuentes, M. (2002). Periodogram and other spectral methods for nonstationary spatial processes. Biometrika, 89, 197-210.