Montserrat Fuentes

Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation

Muyskens, A., Guinness, J., & Fuentes, M. (2022, March 2). Journal of Computational and Graphical Statistics.

Spatial statistical modeling of arsenic accumulation in microsites of diverse soils

Sharma, A., Guinness, J., Muyskens, A., Polizzotto, M. L., Fuentes, M., & Hesterberg, D. (2022, January 13). Geoderma, Vol. 4.

Spatiotemporal signal detection using continuous shrinkage priors

Jhuang, A. T., Fuentes, M., Bandyopadhyay, D., & Reich, B. J. (2020, February 27). Statistics in Medicine.

A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data

Rekabdarkolaee, H. M., Krut, C., Fuentes, M., & Reich, B. J. (2019, January 16). Spatial Statistics, Vol. 29, pp. 351–365.

Complete spatial model calibration

The Annals of Applied Statistics, 13(2), 746–766.

Multi-element effects on arsenate accumulation in a geochemical matrix determined using µ-XRF, µ-XANES and spatial statistics

Sharma, A., Muyskens, A., Guinness, J., Polizzotto, M. L., Fuentes, M., Tappero, R. V., … Hesterberg, D. (2019, October 22). Journal of Synchrotron Radiation, Vol. 26, pp. 1967–1979.

Spatial Signal Detection Using Continuous Shrinkage Priors

Technometrics, 61(4), 494–506.

A Non-Stationary Spatial Model for Temperature Interpolation Applied to the State of Rio De Janeiro

Cunha, M., Gamerman, D., Fuentes, M., & Paez, M. (2017, January 11). Journal of the Royal Statistical Society Series C (Applied Statistics).

Hydrology and microtopography control carbon dynamics in wetlands: Implications in partitioning ecosystem respiration in a coastal plain forested wetland

Miao, G., Noormets, A., Domec, J.-C., Fuentes, M., Trettin, C. C., Sun, G., … King, J. S. (2017, October 11). Agricultural and Forest Meteorology.

Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil

Terres, M. A., Fuentes, M., Hesterberg, D., & Polizzotto, M. (2016, November 12). Bayesian Analysis, Vol. 13, pp. 1–28.

Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM_2.5 exposure and congenital heart defects

Warren, J. L., Stingone, J. A., Herring, A. H., Luben, T. J., Fuentes, M., Aylsworth, A. S., … Study, N. B. D. P. (2016, February 7). Statistics in Medicine.

Performance analysis of a poultry engineering chamber complex for animal environment, air quality, and welfare studies

Transactions of the ASABE, 59(5), 1371–1382.

Spatiotemporal modeling of preterm birth

Handbook of Spatial Epidemiology, 649–663.

Comparison of Distributional Statistics of Aquarius and Argo Sea Surface Salinity Measurements

Mannshardt, E., Sucic, K., Fuentes, M., & Bingham, F. M. (2015, November 17). Journal of Atmospheric and Oceanic Technology.

Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation

Sun, Y., Wang, H. J., & Fuentes, M. (2015, September 1). Technometrics.

Likelihood approximations for big nonstationary spatial temporal lattice data

Statistica Sinica, 25(1), 329–349.

Multilevel Quantile Function Modeling with Application to Birth Outcomes

Smith, L. B., Reich, B. J., Herring, A. H., Langlois, P. H., & Fuentes, M. (2015, March 11). Biometrics, Vol. 71, pp. 508–519.

QUANTILE REGRESSION FOR MIXED MODELS WITH AN APPLICATION TO EXAMINE BLOOD PRESSURE TRENDS IN CHINA1

Smith, L. B., Fuentes, M., Gordon-Larsen, P., & Reich, B. J. (2016, January 13). Annals of Applied Statistics, Vol. 9, pp. 1226–1246.

Spatial Bayesian Nonparametric Methods

Reich, B. J., & Fuentes, M. (2015, January 1). Nonparametric Bayesian Inference in Biostatistics, pp. 347–357.

Maternal Exposure to Criteria Air Pollutants and Congenital Heart Defects in Offspring: Results from the National Birth Defects Prevention Study

Stingone, J. A., Luben, T. J., Daniels, J. L., Fuentes, M., Richardson, D. B., Aylsworth, A. S., … National Birth Defects Prevention Study. (2014, April 11). Environmental Health Perspectives.

Spatial Variable Selection Methods for Investigating Acute Health Effects of Fine Particulate Matter Components

Vock, L. F. B., Reich, B. J., Fuentes, M., & Dominici, F. (2014, October 9). Biometrics, Vol. 71, pp. 167–177.

Comparing exposure metrics for the effects of fine particulate matter on emergency hospital admissions

Mannshardt, E., Sucic, K., Jiao, W., Dominici, F., Frey, H. C., Reich, B., & Fuentes, M. (2013, August 14). Journal of Exposure Science & Environmental Epidemiology, Vol. 23, pp. 627–636.

Multivariate spatial nonparametric modelling via kernel processes mixing

Statistica Sinica, 23(1), 75–97.

Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment

Warren, J., Fuentes, M., Herring, A., & Langlois, P. (2012, October 11). Environmetrics.

Estimating the Health Impact of Climate Change With Calibrated Climate Model Output

Zhou, J., Chang, H. H., & Fuentes, M. (2012, August 8). Journal of Agricultural Biological and Environmental Statistics.

Nonparametric spatial models for extremes: application to extreme temperature data

Fuentes, M., Henry, J., & Reich, B. (2012, August 2). Extremes, Vol. 16, pp. 75–101.

Spatial‐Temporal Modeling of the Association between Air Pollution Exposure and Preterm Birth: Identifying Critical Windows of Exposure

Warren, J., Fuentes, M., Herring, A., & Langlois, P. (2012, May 8). Biometrics.

Time series analysis of personal exposure to ambient air pollution and mortality using an exposure simulator

Journal of Exposure Science & Environmental Epidemiology, 22(5), 483–488.

Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation

Journal of the Royal Statistical Society. Series C, Applied Statistics, 61, 47–66.

Calibration of Numerical Model Output Using Nonparametric Spatial Density Functions

Zhou, J., Fuentes, M., & Davis, J. (2011, November 7). Journal of Agricultural Biological and Environmental Statistics.

Circular conditional autoregressive modeling of vector fields

Modlin, D., Fuentes, M., & Reich, B. (2011, September 14). Environmetrics, Vol. 23, pp. 46–53.

Nonparametric Bayesian models for a spatial covariance

Reich, B. J., & Fuentes, M. (2011, February 8). Statistical Methodology, Vol. 9, pp. 265–274.

A framework for evaluating regional-scale numerical photochemical modeling systems

Dennis, R., Fox, T., Fuentes, M., Gilliland, A., Hanna, S., Hogrefe, C., … Venkatram, A. (2010, March 4). Environmental Fluid Mechanics.

Bayesian Spatial Quantile Regression

Reich, B. J., Fuentes, M., & Dunson, D. B. (2010, December 29). Journal of the American Statistical Association, Vol. 106, pp. 6–20.

Impact of climate change on ambient ozone level and mortality in Southeastern United States

International Journal of Environmental Research and Public Health, 7(7), 2866–2880.

Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression

Reich, B. J., Fuentes, M., Herring, A. H., & Evenson, K. R. (2009, October 10). Biometrics, Vol. 66, pp. 772–782.

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

Song, H.-R., Fuentes, M., & Ghosh, S. (2008, February 9). Journal of Multivariate Analysis, Vol. 99, pp. 1681–1697.

A statistical framework to combine multivariate spatial data and physical models for Hurricane surface wind prediction

Foley, K. M., & Fuentes, M. (2008, February 12). Journal of Agricultural Biological and Environmental Statistics.

Analysis of the effects of ultrafine particulate matter while accounting for human exposure

REICH, B. J., Fuentes, M., & Burke, J. (2008, April 24). Environmetrics, Vol. 20, pp. 131–146.

Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds

Fuentes, M. (2008, July 21). Test.

Spatial–temporal association between fine particulate matter and daily mortality

Choi, J., Fuentes, M., & Reich, B. J. (2008, May 30). Computational Statistics & Data Analysis, Vol. 53, pp. 2989–3000.

Spatial–temporal mesoscale modeling of rainfall intensity using gage and radar data

Fuentes, M., Reich, B., & Lee, G. (2008, December 1). The Annals of Applied Statistics, Vol. 2, pp. 1148–1169.

Special section on statistics in the atmospheric sciences

Fuentes, M., Guttorp, P., & Stein, M. L. (2008, December 1). The Annals of Applied Statistics.

A class of nonseparable and nonstationary spatial temporal covariance functions

Fuentes, M., Chen, L., & Davis, J. M. (2007, November 6). Environmetrics.

A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields

Reich, B. J., & Fuentes, M. (2007, June 1). The Annals of Applied Statistics, Vol. 1, pp. 249–264.

Approximate Likelihood for Large Irregularly Spaced Spatial Data

Fuentes, M. (2007, February 4). Journal of the American Statistical Association.

Bayesian entropy for spatial sampling design of environmental data

Fuentes, M., Chaudhuri, A., & Holland, D. M. (2007, June 27). Environmental and Ecological Statistics.

Testing lack of symmetry in spatial–temporal processes

Park, M. S., & Fuentes, M. (2007, November 30). Journal of Statistical Planning and Inference.

A Real-Time Hurricane Surface Wind Forecasting Model: Formulation and Verification

Xie, L., Bao, S., Pietrafesa, L. J., Foley, K., & Fuentes, M. (2006, May 1). Monthly Weather Review, Vol. 134, pp. 1355–1370.

Sensitivity Of Ecological Models To Their Climate Drivers: Statistical Ensembles For Forcing

Fuentes, M., Kittel, T. G. F., & Nychka, D. (2006, February 1). Ecological Applications.

Spatial Association between Speciated Fine Particles and Mortality

Fuentes, M., Song, H. R., Ghosh, S. K., Holland, D. M., & Davis, J. M. (2006, March 15). Biometrics, Vol. 62, pp. 855–863.

Using multispectral satellite imagery to estimate leaf area and response to silvicultural treatments in loblolly pine stands

Flores, F. J., Allen, H. L., Cheshire, H. M., Davis, J. M., Fuentes, M., & Kelting, D. (2006, June 1). Canadian Journal of Forest Research, Vol. 36, pp. 1587–1596.

Editorial

Fuentes, M., & Boos, D. D. (2005, June 27). Environmetrics, Vol. 16, pp. 421–421.

Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models

Fuentes, M., & Raftery, A. E. (2005, February 28). Biometrics.

Modeling and predicting complex space–time structures and patterns of coastal wind fields

Fuentes, M., Chen, L., Davis, J. M., & Lackmann, G. M. (2005, June 27). Environmetrics, Vol. 16, pp. 449–464.

A formal test for nonstationarity of spatial stochastic processes

Fuentes, M. (2004, November 12). Journal of Multivariate Analysis.

Nonstationary multivariate process modeling through spatially varying coregionalization - Discussion

TEST, 13(2), 295–312.

Role of Wavelets in the Physical and Statistical Modelling of Complex Geological Processes

Yuen, D. A., Erlebacher, G., Vasilyev, O. V., Goldstein, D. E., & Fuentes, M. (2004, September 18). Pure and Applied Geophysics.

Testing for separability of spatial–temporal covariance functions

Fuentes, M. (2004, September 16). Journal of Statistical Planning and Inference.

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), 3024–3021.

Recent advances in space‐time statistics with applications to environmental data: An overview

Mateu, J., Montes, F., & Fuentes, M. (2003, November 12). Journal of Geophysical Research Atmospheres.

Statistical assessment of geographic areas of compliance with air quality standards

Journal of Geophysical Research. Atmospheres, 108(D24).

Statistical assessment of numerical models

International Statistical Review, 71(2), 201–221.

Spectral methods for nonstationary spatial processes

Fuentes, M. (2002, March 1). Biometrika.

A high frequency kriging approach for non‐stationary environmental processes

Fuentes, M. (2001, July 27). Environmetrics.

Fixed-Domain Asymptotics for Variograms Using Subsampling

Fuentes, M. (2001, August 1). Mathematical Geology.

Predicting integrals of diffusion processes

Fuentes, M. (2000, October 1). Journal of Statistical Planning and Inference.

Threshold Dependence of Mortality Effects for Fine and Coarse Particles in Phoenix, Arizona

Smith, R. L., Spitzner, D., Kim, Y., & Fuentes, M. (2000, August 1). Journal of the Air & Waste Management Association.