| Year |
Citation |
Score |
| 2021 |
Brantley H, Fuentes M, Guinness J, Thoma E. SMOOTH DENSITY SPATIAL QUANTILE REGRESSION. Statistica Sinica. 31. PMID 34987278 DOI: 10.5705/ss.202019.0002 |
0.355 |
|
| 2021 |
Brantley H, Fuentes M, Guinness J, Thoma E. Smooth Density Spatial Quantile Regression Statistica Sinica. DOI: 10.5705/Ss.202019.0002 |
0.371 |
|
| 2020 |
Jhuang AT, Fuentes M, Bandyopadhyay D, Reich BJ. Spatiotemporal signal detection using continuous shrinkage priors. Statistics in Medicine. PMID 32106341 DOI: 10.1002/Sim.8514 |
0.369 |
|
| 2020 |
Joseph AC, Fuentes M, Wheeler DC. The impact of population mobility on estimates of environmental exposure effects in a case-control study. Statistics in Medicine. PMID 32059071 DOI: 10.1002/Sim.8501 |
0.439 |
|
| 2020 |
Rekabdarkolaee HMRM, Wang Q, Naji Z, Fuentes M. New Parsimonious Multivariate Spatial Model: Spatial Envelope Statistica Sinica. DOI: 10.5705/Ss.202017.0455 |
0.405 |
|
| 2019 |
Jhuang AT, Fuentes M, Jones JL, Esteves G, Fancher CM, Furman M, Reich BJ. Spatial Signal Detection Using Continuous Shrinkage Priors. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 61: 494-506. PMID 31723308 DOI: 10.1080/00401706.2018.1546622 |
0.363 |
|
| 2019 |
Huang Y, Reich BJ, Fuentes M, Sankarasubramanian A. Complete spatial model calibration The Annals of Applied Statistics. 13: 746-766. DOI: 10.1214/18-Aoas1219 |
0.41 |
|
| 2019 |
Rekabdarkolaee HM, Krut C, Fuentes M, Reich BJ. A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data Spatial Statistics. 29: 351-365. DOI: 10.1016/J.Spasta.2018.12.006 |
0.433 |
|
| 2018 |
Terres MA, Fuentes M, Hesterberg D, Polizzotto M. Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil Bayesian Analysis. 13: 1-28. DOI: 10.1214/16-Ba1034 |
0.361 |
|
| 2017 |
Cunha M, Gamerman D, Fuentes M, Paez M. A non-stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro Journal of the Royal Statistical Society: Series C (Applied Statistics). 66: 919-939. DOI: 10.1111/Rssc.12207 |
0.451 |
|
| 2017 |
Guinness J, Fuentes M. Circulant Embedding of Approximate Covariances for Inference From Gaussian Data on Large Lattices Journal of Computational and Graphical Statistics. 26: 88-97. DOI: 10.1080/10618600.2016.1164534 |
0.31 |
|
| 2016 |
Warren JL, Stingone JA, Herring AH, Luben TJ, Fuentes M, Aylsworth AS, Langlois PH, Botto LD, Correa A, Olshan AF. Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects. Statistics in Medicine. PMID 26853919 DOI: 10.1002/Sim.6891 |
0.439 |
|
| 2016 |
Mannshardt E, Sucic K, Fuentes M, Bingham FM. Comparison of distributional statistics of aquarius and argo sea surface salinity measurements Journal of Atmospheric and Oceanic Technology. 33: 103-118. DOI: 10.1175/Jtech-D-15-0068.1 |
0.351 |
|
| 2016 |
Sun Y, Wang HJ, Fuentes M. Fused adaptive lasso for spatial and temporal quantile function estimation Technometrics. 58: 127-137. DOI: 10.1080/00401706.2015.1017115 |
0.498 |
|
| 2016 |
Guinness J, Fuentes M. Isotropic covariance functions on spheres: Some properties and modeling considerations Journal of Multivariate Analysis. 143: 143-152. DOI: 10.1016/J.Jmva.2015.08.018 |
0.362 |
|
| 2015 |
Smith LB, Reich BJ, Herring AH, Langlois PH, Fuentes M. Multilevel quantile function modeling with application to birth outcomes. Biometrics. 71: 508-19. PMID 25761678 DOI: 10.1111/Biom.12294 |
0.35 |
|
| 2015 |
Boehm Vock LF, Reich BJ, Fuentes M, Dominici F. Spatial variable selection methods for investigating acute health effects of fine particulate matter components. Biometrics. 71: 167-77. PMID 25303336 DOI: 10.1111/Biom.12254 |
0.488 |
|
| 2015 |
Guinness J, Fuentes M. Likelihood approximations for big nonstationary spatial temporal lattice data Statistica Sinica. 25: 329-349. DOI: 10.5705/Ss.2013.240W |
0.451 |
|
| 2015 |
Reich BJ, Fuentes M. Spatial Bayesian nonparametric methods Nonparametric Bayesian Inference in Biostatistics. 347-358. DOI: 10.1007/978-3-319-19518-6_17 |
0.314 |
|
| 2014 |
Stingone JA, Luben TJ, Daniels JL, Fuentes M, Richardson DB, Aylsworth AS, Herring AH, Anderka M, Botto L, Correa A, Gilboa SM, Langlois PH, Mosley B, Shaw GM, Siffel C, et al. Maternal exposure to criteria air pollutants and congenital heart defects in offspring: results from the national birth defects prevention study. Environmental Health Perspectives. 122: 863-72. PMID 24727555 DOI: 10.1289/Ehp.1307289 |
0.386 |
|
| 2014 |
Guinness J, Fuentes M, Hesterberg D, Polizzotto M. Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data Spatial Statistics. DOI: 10.1016/J.Spasta.2014.03.009 |
0.324 |
|
| 2013 |
Fuentes M, Reich B. Multivariate spatial nonparametric modelling via kernel processes mixing. Statistica Sinica. 23. PMID 24347994 DOI: 10.5705/Ss.2011.172 |
0.492 |
|
| 2013 |
Fuentes M, Henry J, Reich B. Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. Extremes. 16: 75-101. PMID 24058280 DOI: 10.1007/S10687-012-0154-1 |
0.474 |
|
| 2013 |
Mannshardt E, Sucic K, Jiao W, Dominici F, Frey HC, Reich B, Fuentes M. Comparing exposure metrics for the effects of fine particulate matter on emergency hospital admissions. Journal of Exposure Science & Environmental Epidemiology. 23: 627-36. PMID 23942393 DOI: 10.1038/Jes.2013.39 |
0.484 |
|
| 2013 |
Warren JL, Fuentes M, Herring AH, Langlois PH. Air pollution metric analysis while determining susceptible periods of pregnancy for low birth weight. Isrn Obstetrics and Gynecology. 2013: 387452. PMID 23431464 DOI: 10.1155/2013/387452 |
0.472 |
|
| 2012 |
Modlin D, Fuentes M, Reich B. Circular Conditional Autoregressive Modeling of Vector Fields. Environmetrics. 23. PMID 24353452 DOI: 10.1002/Env.1133 |
0.336 |
|
| 2012 |
Zhou J, Chang HH, Fuentes M. Estimating the Health Impact of Climate Change with Calibrated Climate Model Output. Journal of Agricultural, Biological, and Environmental Statistics. 17: 377-394. PMID 24039385 DOI: 10.1007/S13253-012-0105-Y |
0.58 |
|
| 2012 |
Banerjee S, Fuentes M. Bayesian Modeling for Large Spatial Datasets. Wiley Interdisciplinary Reviews. Computational Statistics. 4: 59-66. PMID 23991246 DOI: 10.1002/Wics.187 |
0.479 |
|
| 2012 |
Reich BJ, Fuentes M. Nonparametric Bayesian models for a spatial covariance. Statistical Methodology. 9: 265-274. PMID 23956705 DOI: 10.1016/J.Stamet.2011.01.007 |
0.435 |
|
| 2012 |
Warren J, Fuentes M, Herring A, Langlois P. Bayesian Spatial-temporal Model for Cardiac Congenital Anomalies and Ambient Air Pollution Risk Assessment. Environmetrics. 23: 673-684. PMID 23482298 DOI: 10.1002/Env.2174 |
0.439 |
|
| 2012 |
Chang HH, Fuentes M, Frey HC. Time series analysis of personal exposure to ambient air pollution and mortality using an exposure simulator. Journal of Exposure Science & Environmental Epidemiology. 22: 483-8. PMID 22669499 DOI: 10.1038/Jes.2012.53 |
0.479 |
|
| 2012 |
Bravo MA, Fuentes M, Zhang Y, Burr MJ, Bell ML. Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation. Environmental Research. 116: 1-10. PMID 22579357 DOI: 10.1016/J.Envres.2012.04.008 |
0.495 |
|
| 2012 |
Warren J, Fuentes M, Herring A, Langlois P. Spatial-temporal modeling of the association between air pollution exposure and preterm birth: identifying critical windows of exposure. Biometrics. 68: 1157-67. PMID 22568640 DOI: 10.1111/J.1541-0420.2012.01774.X |
0.504 |
|
| 2012 |
Reich BJ, Kalendra E, Storlie CB, Bondell HD, Fuentes M. 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. DOI: 10.1111/J.1467-9876.2011.00772.X |
0.633 |
|
| 2011 |
Reich BJ, Fuentes M, Dunson DB. Bayesian Spatial Quantile Regression. Journal of the American Statistical Association. 106: 6-20. PMID 23459794 DOI: 10.1198/Jasa.2010.Ap09237 |
0.488 |
|
| 2011 |
Zhou J, Fuentes M, Davis J. Calibration of Numerical Model Output Using Nonparametric Spatial Density Functions Journal of Agricultural, Biological, and Environmental Statistics. 16: 531-553. DOI: 10.1007/S13253-011-0076-4 |
0.578 |
|
| 2011 |
Fuentes M, Xi B, Cleveland WS. Trellis display for modeling data from designed experiments Statistical Analysis and Data Mining. 4: 133-145. DOI: 10.1002/Sam.10102 |
0.314 |
|
| 2010 |
Chang HH, Zhou J, Fuentes M. Impact of climate change on ambient ozone level and mortality in southeastern United States. International Journal of Environmental Research and Public Health. 7: 2866-80. PMID 20717546 DOI: 10.3390/Ijerph7072866 |
0.539 |
|
| 2010 |
Reich BJ, Fuentes M, Herring AH, Evenson KR. Bayesian variable selection for multivariate spatially varying coefficient regression. Biometrics. 66: 772-82. PMID 19817742 DOI: 10.1111/J.1541-0420.2009.01333.X |
0.36 |
|
| 2009 |
Choi J, Fuentes M, Reich BJ, Davis JM. Multivariate spatial-temporal modeling and prediction of speciated fine particles. Journal of Statistical Theory and Practice. 3: 407-418. PMID 20407598 DOI: 10.1080/15598608.2009.10411933 |
0.688 |
|
| 2009 |
Fuentes M. Statistical issues in health impact assessment at the state and local levels. Air Quality, Atmosphere, & Health. 2: 47-55. PMID 19888447 DOI: 10.1007/S11869-009-0033-3 |
0.414 |
|
| 2009 |
Choi J, Fuentes M, Reich BJ. Spatial-temporal association between fine particulate matter and daily mortality. Computational Statistics & Data Analysis. 53: 2989-3000. PMID 19652691 DOI: 10.1016/J.Csda.2008.05.018 |
0.703 |
|
| 2008 |
Reich BJ, Fuentes M, Burke J. Analysis of the effects of ultrafine particulate matter while accounting for human exposure. Environmetrics. 20: 131-146. PMID 19655031 DOI: 10.1002/Env.915 |
0.365 |
|
| 2008 |
Song HR, Fuentes M, Ghosh S. A comparative study of Gaussian geostatistical models and Gaussian Markov random field models1. Journal of Multivariate Analysis. 99: 1681-1697. PMID 19337581 DOI: 10.1016/J.Jmva.2008.01.012 |
0.68 |
|
| 2008 |
Park MS, Fuentes M. Testing Lack of Symmetry in Spatial-Temporal Processes. Journal of Statistical Planning and Inference. 138: 2847-2866. PMID 19337579 DOI: 10.1016/J.Jspi.2007.10.021 |
0.617 |
|
| 2008 |
Fuentes M, Guttorp P, Stein ML. Special section on statistics in the atmospheric sciences Annals of Applied Statistics. 2: 1143-1147. DOI: 10.1214/08-Aoas209 |
0.338 |
|
| 2008 |
Fuentes M, Reich B, Lee G. Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data Annals of Applied Statistics. 2: 1148-1169. DOI: 10.1214/08-Aoas166 |
0.465 |
|
| 2008 |
Foley KM, Fuentes M. 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. DOI: 10.1198/108571108X276473 |
0.593 |
|
| 2007 |
Fuentes M, Chen L, Davis JM. A class of nonseparable and nonstationary spatial temporal covariance functions. Environmetrics. 19: 487-507. PMID 19829763 DOI: 10.1002/Env.891 |
0.475 |
|
| 2007 |
Fuentes M. Approximate likelihood for large irregularly spaced spatial data. Journal of the American Statistical Association. 102: 321-331. PMID 19079638 DOI: 10.1198/016214506000000852 |
0.394 |
|
| 2007 |
Reich BJ, Fuentes M. A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields The Annals of Applied Statistics. 1: 249-264. DOI: 10.1214/07-Aoas108 |
0.426 |
|
| 2007 |
Fuentes M, Chaudhuri A, Holland DM. Bayesian entropy for spatial sampling design of environmental data Environmental and Ecological Statistics. 14: 323-340. DOI: 10.1007/S10651-007-0017-0 |
0.446 |
|
| 2006 |
Fuentes M, Song HR, Ghosh SK, Holland DM, Davis JM. Spatial association between speciated fine particles and mortality. Biometrics. 62: 855-63. PMID 16984329 DOI: 10.1111/J.1541-0420.2006.00526.X |
0.666 |
|
| 2006 |
Fuentes M, Kittel TG, Nychka D. Sensitivity of ecological models to their climate drivers: statistical ensembles for forcing. Ecological Applications : a Publication of the Ecological Society of America. 16: 99-116. PMID 16705964 DOI: 10.1890/04-1157 |
0.429 |
|
| 2006 |
Xie L, Bao S, Pietrafesa LJ, Foley K, Fuentes M. A Real-Time Hurricane Surface Wind Forecasting Model: Formulation and Verification Monthly Weather Review. 134: 1355-1370. DOI: 10.1175/Mwr3126.1 |
0.537 |
|
| 2006 |
Fuentes M. Testing for separability of spatial-temporal covariance functions Journal of Statistical Planning and Inference. 136: 447-466. DOI: 10.1016/J.Jspi.2004.07.004 |
0.417 |
|
| 2005 |
Fuentes M, Raftery AE. Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models. Biometrics. 61: 36-45. PMID 15737076 DOI: 10.1111/J.0006-341X.2005.030821.X |
0.489 |
|
| 2005 |
Taylor JC, Thompson JS, Rand PS, Fuentes M. Sampling and Statistical Considerations for Hydroacoustic Surveys Used in Estimating Abundance of Forage Fishes in Reservoirs North American Journal of Fisheries Management. 25: 73-85. DOI: 10.1577/M03-241.1 |
0.352 |
|
| 2005 |
Fuentes M. A formal test for nonstationarity of spatial stochastic processes Journal of Multivariate Analysis. 96: 30-54. DOI: 10.1016/J.Jmva.2004.09.003 |
0.408 |
|
| 2005 |
Fuentes M, Chen L, Davis JM, Lackmann GM. Modeling and predicting complex space-time structures and patterns of coastal wind fields Environmetrics. 16: 449-464. DOI: 10.1002/Env.714 |
0.317 |
|
| 2004 |
Yuen DA, Erlebacher G, Vasilyev OV, Goldstein DE, Fuentes M. Role of wavelets in the physical and statistical modelling of complex geological processes Pure and Applied Geophysics. 161: 2231-2244. DOI: 10.1007/S00024-004-2560-Z |
0.351 |
|
| 2003 |
Fuentes M. Predictions in Time Series Using Regression Models Journal of the American Statistical Association. 98: 768-769. DOI: 10.1198/Jasa.2003.S289 |
0.315 |
|
| 2003 |
Fuentes M, Guttorp P, Challenor P. Statistical Assessment of Numerical Models International Statistical Review. 71: 201-221. DOI: 10.1111/J.1751-5823.2003.Tb00193.X |
0.457 |
|
| 2003 |
Mateu J, Montes F, Fuentes M. Recent advances in space-time statistics with applications to environmental data: An overview Journal of Geophysical Research: Atmospheres. 108: n/a-n/a. DOI: 10.1029/2003Jd003819 |
0.403 |
|
| 2003 |
Fuentes M. Statistical assessment of geographic areas of compliance with air quality standards Journal of Geophysical Research D: Atmospheres. 108. DOI: 10.1029/2003Jd003672 |
0.427 |
|
| 2003 |
Doney SC, Glover DM, McCue SJ, Fuentes M. Mesoscale variability of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) satellite ocean color: Global patterns and spatial scales Journal of Geophysical Research C: Oceans. 108: 6-1. DOI: 10.1029/2001Jc000843 |
0.369 |
|
| 2002 |
Fuentes M. Interpolation of nonstationary air pollution processes: a spatial spectral approach Statistical Modelling: An International Journal. 2: 281-298. DOI: 10.1191/1471082x02st034oa |
0.317 |
|
| 2002 |
Fuentes M. Spectral methods for nonstationary spatial processes Biometrika. 89: 197-210. DOI: 10.1093/Biomet/89.1.197 |
0.47 |
|
| 2001 |
Fuentes M. Fixed-domain asymptotics for variograms using subsampling Mathematical Geology. 33: 679-687. DOI: 10.1023/A:1011074615343 |
0.303 |
|
| 2001 |
Fuentes M. A high frequency kriging approach for non-stationary environmental processes Environmetrics. 12: 469-483. DOI: 10.1002/Env.473 |
0.452 |
|
| 2000 |
Smith RL, Spitzner D, Kim Y, Fuentes M. Threshold dependence of mortality effects for fine and coarse particles in Phoenix, Arizona Journal of the Air & Waste Management Association. 50: 1367-1379. PMID 11002599 DOI: 10.1080/10473289.2000.10464172 |
0.333 |
|
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