Year |
Citation |
Score |
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 |
0.56 |
|
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 |
0.56 |
|
2016 |
Reich BJ, Fuentes M. Comment on article by page and quintana Bayesian Analysis. 11: 303-305. DOI: 10.1214/15-BA971B |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2015 |
Smith LB, Fuentes M, Gordon-Larsen P, Reich BJ. QUANTILE REGRESSION FOR MIXED MODELS WITH AN APPLICATION TO EXAMINE BLOOD PRESSURE TRENDS IN CHINA. The Annals of Applied Statistics. 9: 1226-1246. PMID 28066516 DOI: 10.1214/15-AOAS841 |
0.56 |
|
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 |
0.96 |
|
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 |
0.56 |
|
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 |
0.96 |
|
2015 |
Smith LB, Fuentes M, Gordon-Larsen P, Reich BJ. Quantile regression for mixed models with an application to examine blood pressure trends in China Annals of Applied Statistics. 9: 1226-1246. DOI: 10.1214/15-AOAS841 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2013 |
Fuentes M, Reich B. Multivariate spatial nonparametric modelling via kernel processes mixing. Statistica Sinica. 23. PMID 24347994 DOI: 10.5705/ss.2011.172 |
0.96 |
|
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 |
0.96 |
|
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 |
0.56 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2012 |
Reich BJ, Fuentes M. Accounting for Design in the Analysis of Spatial Data Spatio-Temporal Design: Advances in Efficient Data Acquisition. 131-141. DOI: 10.1002/9781118441862.ch6 |
0.56 |
|
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 |
0.96 |
|
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 |
0.56 |
|
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 |
0.96 |
|
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 |
0.56 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2008 |
Fuentes M. Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds Test. 17: 245-248. DOI: 10.1007/s11749-008-0119-5 |
0.96 |
|
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 |
0.36 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2005 |
Fuentes M, Boos DD. Special issue environmental and health statistics Environmetrics. 16: 421. DOI: 10.1002/env.711 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
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 |
0.96 |
|
2002 |
Fuentes M. Spectral methods for nonstationary spatial processes Biometrika. 89: 197-210. DOI: 10.1093/biomet/89.1.197 |
0.96 |
|
2001 |
Fuentes M. A high frequency kriging approach for non-stationary environmental processes Environmetrics. 12: 469-483. DOI: 10.1002/env.473 |
0.96 |
|
2001 |
Fuentes M. Fixed-domain asymptotics for variograms using subsampling Mathematical Geology. 33: 679-687. |
0.96 |
|
2000 |
Fuentes M. Predicting integrals of diffusion processes Journal of Statistical Planning and Inference. 90: 183-193. |
0.96 |
|
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