MONTSERRATFUENTES

Professor of Statistics

          at NORTH CAROLINA STATE UNIVERSITY, Statistics Department.

Office: Patterson Hall 209G
Tel: 919-515-1921.
Fax: 919-515-1169.

Address: Box8203NCSU, Department of Statistics, North CarolinaStateUniversity. Raleigh, NC27695.

· E-mail: fuentes@stat.ncsu.edu.

          Also: Scientist at the ENVIRONMENTAL PROTECTION AGENCY, RTP (NC).

Atmospheric Modeling Division.

Office: Building 4201, #313
Tel: 919-541-4635.
Fa: 919-541-1379.

Address: US EPA MD-80 RTP, NC27711

· E-mail: fuentes@hppc.epa.gov.

          Previously at: THE NATIONAL CENTER OF ATMOSPHERIC RESEARCH, Climate and Global Division, Geophysical Statistics Project.

What's here:

· General Info

· Research Interests

· Papers

· Environmental Statistics Working Group

· Teaching

Today's weather

GENERAL INFO

Ph.D. in Statistics from the Department of Statistics, at The University of Chicago

CURRICULUM VITAE My Biographical sketch

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RESEARCH: Spatial-temporal models, spatial statistics, spectral methods, computational methods for 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.

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SELECTED PAPERS:

Books and Book 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 Statistical Computation, to appear. Editor Jim Clark and Alan Gelfand. Wiley, New York.

4. Fuentes, Montserrat, 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.

Few selected Publications

1. Fuentes, M., Reich, B. Gyuwon Lee (2008). Spatial-temporal mesoscale modelling of rainfall intensity using gage and radar data. Annals of applied statistics, in press.

2. K. M. Foley, and M. Fuentes (2008). Multivariate space-time models for environmental processes. GIS encyclopedia, in press.

3. 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, in press.

4. Park, M.S., and Fuentes, M. (2008).Testing Lack of Symmetry in Spatial-Temporal Processes. Journal of Statistical Planning and Inference, in press.

5. 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, in press.

6. Reich, B., Fuentes, M., Burke, J. (2008). Analysis of the effects of ultrafine particulate matter while accounting for human exposure. Environmetrics, in press.

7. Foley, K.M., and Fuentes, M. (2008). JABES, in press.

8. Park, M.S., and Fuentes, M. (2008). JSPI, in press.

9. Reich, B. and Fuentes (2007). A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields. Annals of Applied Statistics, 1, 249-264.

10.Flores, F.J. H. L. Allen, H. Cheshire, J.M. Davis, M. Fuentes, and D. L. Kelting. ( 2006). Using multispectral satellite imagery to estimate leaf

area and response to silvicultural treatments in loblolly pine stands.

Can.J. For. Res. 37:1587-1596

11.Fuentes, M. (2007).Approximate likelihood for large irregularly spaced spatial data. JASA, Theory and Methods,

102, 477,321-331

12.Xie, L., Bao, S., L.P. Pietrafesa, Foley, K., and Fuentes, M. (2005). A real-time hurricane surface wind forecasting model: formulation and verification. Monthly Weather Review, 134, No. 5, pages 1355–1370.

13.Fuentes, M., Chaudhuri, A. and Holland, D. (2006). Bayesian entropy for spatial sampling design of environmental data. Environmental and Ecological Statistics, 14, 323-340

14.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.

15. Fuentes, M. (2004). Nonstationary multivariate process modeling through spatially varying coregionalization: Comment. TEST (invited discussion of a paper by Gelfand, Schmidt and Banerjee), 13, 33-36.

16. Taylor, C., Thompson, J., Rand, P., and Fuentes, M. (2005). Sampling and statistical considerations for hydroacoustic surveys used in estimating abundance of forage fishes in reservoirs, North American Journal of Fisheries Mangement, 25, 73-85

17. Fuentes, M. (2005). A formal test for nonstationarity of spatial stochastic processes.Journal of Multivariate Analysis, 96, 30-55

18. 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.

19. 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.

20. Fuentes, M., Kittle, T. and Nychka, D. (2006). Sensitivity of ecological models to spatial-temporal estimation of their climate drivers: Statistical ensembles for forcing.Ecological Applications, 16, 99-116.

21. Fuentes, M. (2005).Testing for separability of spatial-temporal covariance functions. Journal of Statistical Planning and Inference, 136, 447-466.

22. 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.

23. Fuentes, M. (2003). Book review: Predictions in time series using regression models. Journal of the American Statistical Association, 98, 768-769.

24. Fuentes, M. (2003). Spatial-Temporal Nonlinear Filtering Based on Hierarchical Statistical Models: Comment. TEST (invited discussion of a paper by Irwin, Cressie and Johannesson), 2, 284-287.

25. Doney, S., Glover, Fuentes, M., and McCue, S. (2003). Mesoscale variability of Sea-viewing Wide Field-of-View Sensor (SeaWiFS) satellite ocean color: Global patterns and spatial scales. Journal of Geophysical Research, Oceans. 108 (C2), 3024

26. Fuentes, M, Guttorp, and Challenor, P. (2003). Statistical assessment of numerical models. International Statistical Review. 71, 2, 201-221.

27. Fuentes, M. (2002). Modeling and prediction of nonstationary spatial processes. Statistical Modelling: An International Journal, 2, 281-298.

28. Fuentes, M. (2002). Periodogram and other spectral methods for nonstationary spatial processes. Biometrika, 89, 197-210.

29. Fuentes, M. (2001). A High Frequency Kriging for Nonstationary Environmental Processes. Environmetrics, 12, 1-15.

30. Fuentes, M. (2001). Fixed-domain asymptotics for variograms using subsampling. Mathematical Geology, Vol 33, 6, pp. 679-691.

31. Fuentes, M. (2000). Predicting Integrals of Diffusion Processes with unknown diffusion parameters. Stochastics, 69, pp. 255-283.

32. Fuentes, M. (2000). Predicting Integrals of Diffusion Processes. Journal of Statistical Planning and Inference, 90, pp. 183-193.

33. Smith, R.L., Kim, Y., Fuentes, M., and Spitzner, D. (2000). Threshold dependence of mortality effects for fine and coarse particles in Phoenix, Arizona. Journal of the Air and Waste Management Association 50, 1367-1379.

34. LeGrange, Carter, Fuentes, Boo, Freeny, Cleveland, and Miller. (1997). The Dependence of the Electro-Optical Properties of Polymer Dispersed Liquid Crystals on the hotopolymerization Process. Journal of Applied Physics, vol. 81 (9).

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TEACHING:

o Summer Course 2008. Barcelona.

o ST778: Measure Theory and Advanced Probability, (Fall 2007) North Carolina State University.  

o ST733: Applied Spatial Statistics, (spring 2008) North Carolina State University.  

o ST810A: Preparation for Statistical Research , Spring 2006. North Carolina State University.              

o ST610 I: Intro to Statistical Computing (fall 2005), North Carolina State University.

o ST790M: Spatial Statistics and Data assimilation (Fall 2006), North Carolina State University.

o ST810M: Spatial Statistics, North Carolina State University.

o ST421: Intro Math. Stat. North Carolina State University.

o ST370: Probability and Statistics for Engineers, Fall 1999. North Carolina State University.

o           Stat220E: Statistical Methods and Their Applications, Fall 1997. University of Chicago.

o           Stat220E: Statistical Methods and Their Applications, Fall 1996. University of Chicago.

o           Stat220: Statistical Methods and Their Applications, Spring 1996. University of Chicago.

o           Stat345: Design of Experiments, Winter 1996. Universityof Chicago.

The easiest way to contact me is through email at fuentes@stat.ncsu.edu.

This page has been accessed times since July 1, 1999.

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