M. Fuentes

发表

Handbook of spatial statistics

A. Gelfand, P. Diggle, P. Guttorp, 2010 .

Interpolation of nonstationary air pollution processes: a spatial spectral approach

M. Fuentes, 2002 .

Spectral methods for nonstationary spatial processes

M. Fuentes, 2002 .

Approximate Likelihood for Large Irregularly Spaced Spatial Data

M. Fuentes, 2007, Journal of the American Statistical Association.

Circulant Embedding of Approximate Covariances for Inference From Gaussian Data on Large Lattices

M. Fuentes, J. Guinness, 2017 .

Model Validation and Spatial Interpolation by Combining Observations with Outputs from Numerical Models via Bayesian Melding

A. Raftery, M. Fuentes, 2001 .

A formal test for nonstationarity of spatial stochastic processes

M. Fuentes, 2005 .

Multivariate Spatial-temporal Modeling and Prediction of Speciated Fine Particles

Jerry M. Davis, M. Fuentes, B. Reich, 2009, Journal of statistical theory and practice.

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

Montserrat Fuentes, Maria A. Terres, M. Fuentes, 2018 .

Bayesian Spectral Modeling of Microscale Spatial Distributions in a Multivariate Soil Matrix

Maria A. Terres, M. Fuentes, D. Hesterberg, 2015, 1505.07798.

Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data

Montserrat Fuentes, Joseph Guinness, M. Fuentes, 2014 .

Using Transforms to Analyze Space-Time Processes

Peter Guttorp, Montserrat Fuentes, Paul D. Sampson, 2007 .

Spectral methods to approximate the likelihood for irregularly spaced spatial data

M. Fuentes, 2004 .

Mesoscale variability of Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) satellite ocean color: Global patterns and spatial scales

M. Fuentes, S. Doney, D. M. Glover, 2003 .

Statistical Assessment of Numerical Models *

P. Guttorp, M. Fuentes, P. Challenor, 2003 .

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

M. Fuentes, H. Bondell, B. Reich, 2012 .

Journal of the American Statistical Association Bayesian Spatial Quantile Regression Bayesian Spatial Quantile Regression

M. Fuentes, D. Dunson, B. Reich, 2022 .

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

M. Fuentes, L. Pietrafesa, S. Bao, 2006 .

Non-Stationary Covariance Estimation using the Stochastic Score Approximation for Large Spatial Data.

M. Fuentes, J. Guinness, Amanda Muyskens, 2018, 1809.06904.

Testing for separability of spatial–temporal covariance functions

M. Fuentes, 2006 .

Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation.

Montserrat Fuentes, Michelle L Bell, Yang Zhang, 2011, Environmental research.

A Bayesian analysis of the effects of particulate matter using a human exposure simulator

M. Fuentes, B. Reich, J. Burke, 2006 .

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

Montserrat Fuentes, Brian J Reich, M. Fuentes, 2009, Environmetrics.

Nonparametric Bayesian models for a spatial covariance.

Montserrat Fuentes, Brian J Reich, M. Fuentes, 2012, Statistical methodology.

Impact of Climate Change on Ambient Ozone Level and Mortality in Southeastern United States

Howard H. Chang, M. Fuentes, Jingwen Zhou, 2010, International journal of environmental research and public health.

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models1.

Montserrat Fuentes, Hae-Ryoung Song, M. Fuentes, 2008, Journal of multivariate analysis.

New classes of asymmetric spatial-temporal covariance Models

Montserrat Fuentes, Man Sik Park, M. Fuentes, 2006 .

Statistical assessment of geographic areas of compliance with air quality standards : Application of recent advances in space-time statistics to atmospheric data

Montserrat Fuentes, M. Fuentes, 2003 .

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

Montserrat Fuentes, Kristen M. Foley, M. Fuentes, 2008 .

Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects

Montserrat Fuentes, Amy H Herring, Joshua L Warren, 2016, Statistics in medicine.

Sensitivity of ecological models to their climate drivers: statistical ensembles for forcing.

M. Fuentes, D. Nychka, T. Kittel, 2006, Ecological applications : a publication of the Ecological Society of America.

Spatial Association between Speciated Fine Particles and Mortality

Montserrat Fuentes, Jerry M. Davis, Hae-Ryoung Song, 2006, Biometrics.

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

M. Fuentes, F. Dominici, B. Reich, 2013, Journal of Exposure Science and Environmental Epidemiology.

A non‐stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro

M. Fuentes, D. Gamerman, M. Paez, 2017 .

The impact of population mobility on estimates of environmental exposure effects in a case‐control study

M. Fuentes, D. Wheeler, Anny-Claude Joseph, 2020, Statistics in medicine.

Covariance functions for mean square differentiable processes on spheres

M. Fuentes, J. Guinness, 2013 .

Application of Wavelets to the Modeling , Analysis , Visualization , and Data Handling of Complex Geological Processes

M. Fuentes, O. Vasilyev, G. Erlebacher, 2003 .

lvlodel Validation and Spatial Interpolation by Combining Observations \ vith Outputs from Numerical lvlodels via Bayesian lvlelding 1

A. Raftery, M. Fuentes, 2001 .

Models and Computations for Nonstationary Spatial Processes

M. Fuentes, R. Smith, S. Kolenikov, 2001 .

Multilevel quantile function modeling with application to birth outcomes

M. Fuentes, B. Reich, A. Herring, 2015, Biometrics.

Linking preterm birth and air pollution in Harris County, Texas

M. Fuentes, A. Herring, J. Warren, 2010 .

New Parsimonious Multivariate Spatial Model: Spatial Envelope

Hossein Moradi Rekabdarkolaee, M. Fuentes, Qin Wang, 2017, 1706.06703.

A Bayesian approach to combine disparate spatial data

Adrian E. Raftery, Montserrat Fuentes, A. Raftery, 2002 .

PERFORMANCE ANALYSIS OF A POULTRY ENGINEERING CHAMBER COMPLEX FOR ANIMAL ENVIRONMENT, AIR QUALITY, AND WELFARE STUDIES

Montserrat Fuentes, Larry F. Stikeleather, Sanjay B. Shah, 2016 .

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

Howard H. Chang, M. Fuentes, H. Frey, 2012, Journal of Exposure Science and Environmental Epidemiology.

COMPARISON OF EXPOSURE ESTIMATION METHODS FOR AIR POLLUTANTS: AMBIENT MONITORING DATA AND REGIONAL AIR QUALITY SIMULATION

M. Fuentes, M. Bell, Yang Zhang, 2011 .

Bayesian Regional Climate Model Emulator with Spatially Varying Variable Selection

M. Fuentes, J. Guinness, Marcela Alfaro-Córdoba, 2017 .

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

M. Fuentes, 2008 .

Statistica Sinica Preprint No : SS-2017-0455 Title New Parsimonious Multivariate Spatial Model : Spatial Envelope

M. Fuentes, Z. Naji, H. Rekabdarkolaee, 2018 .

Verification of Statistical Seasonal Tropical Cyclone Forecast

M. Fuentes, J. Guinness, Marcela Alfaro-Córdoba, 2019 .

Circular conditional autoregressive modeling of vector fields

Danny Modlin, Brian Reich, M. Fuentes, 2012, Environmetrics.

Nonparametric spatial models for extremes: application to extreme temperature data

Montserrat Fuentes, Brian Reich, M. Fuentes, 2013, Extremes.

Non-Gaussian and nonparametric models for continuous spatial data

Mark F. J. Steel, M. Fuentes, M. Fuentes, 2010 .

SMOOTH DENSITY SPATIAL QUANTILE REGRESSION.

Montserrat Fuentes, Joseph Guinness, Eben Thoma, 2019, Statistica Sinica.

Calibration of Numerical Model Output Using Nonparametric Spatial Density Functions

Jingwen Zhou, Montserrat Fuentes, Jerry M. Davis, 2011 .

A MULTIVARIATE SEMIPARAMETRIC BAYESIAN SPATIAL MODELING FRAMEWORK FOR HURRICANE SURFACE WIND FIELDS

Brian J. Reich, Montserrat Fuentes, M. Fuentes, 2007, 0709.0427.

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

Montserrat Fuentes, Brian J Reich, Penny Gordon-Larsen, 2015, The annals of applied statistics.

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

Montserrat Fuentes, Howard H. Chang, M. Fuentes, 2012, Journal of Agricultural, Biological, and Environmental Statistics.

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

Howard H. Chang, M. Fuentes, Jingwen Zhou, 2012, Journal of Agricultural, Biological, and Environmental Statistics.

Multivariate spatial nonparametric modelling via kernel processes mixing.

Montserrat Fuentes, Brian Reich, M. Fuentes, 2013, Statistica Sinica.

Quantile Regression for Mixed Models

M. Fuentes, B. Reich, P. Gordon-Larsen, 2014 .

Bayesian entropy for spatial sampling design of environmental data

Montserrat Fuentes, David M. Holland, Arin Chaudhuri, 2007, Environmental and Ecological Statistics.

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

Montserrat Fuentes, Adrian E Raftery, A. Raftery, 2005, Biometrics.

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

Montserrat Fuentes, Gyuwon Lee, Brian Reich, 2008, 0901.3478.

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

M. Fuentes, D. Spitzner, R L Smith, 2000, Journal of the Air & Waste Management Association.

Spatial-temporal association between fine particulate matter and daily mortality

Brian J. Reich, Montserrat Fuentes, Jungsoon Choi, 2009, Comput. Stat. Data Anal..

A Multivariate Dynamic Spatial Factor Model for Speciated Pollutants and Adverse Birth Outcomes

Maria A. Terres, M. Fuentes, G. Shaw, 2017, International journal of environmental research and public health.

Spatial variable selection methods for investigating acute health effects of fine particulate matter components

Montserrat Fuentes, Francesca Dominici, Brian J Reich, 2015, Biometrics.

Statistical issues in health impact assessment at the state and local levels

Montserrat Fuentes, M. Fuentes, 2009, Air quality, atmosphere, & health.

Bayesian modeling for large spatial

Montserrat Fuentes, M. Fuentes, 2011 .

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

Montserrat Fuentes, J. Mateu, F. Montes, 2003 .

Sampling and Statistical Considerations for Hydroacoustic Surveys Used in Estimating Abundance of Forage Fishes in Reservoirs

Montserrat Fuentes, J. Christopher Taylor, J. C. Taylor, 2005 .

Spatial statistical modeling of arsenic accumulation in microsites of diverse soils

M. Fuentes, J. Guinness, D. Hesterberg, 2022, Geoderma.

Trellis display for modeling data from designed experiments

Bowei Xi, Montserrat Fuentes, William S. Cleveland, 2011, Stat. Anal. Data Min..

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

Garth J. Williams, M. Fuentes, J. Guinness, 2019, Journal of synchrotron radiation.

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

Gordon Erlebacher, David A. Yuen, Montserrat Fuentes, 2004 .

Isotropic covariance functions on spheres: Some properties and modeling considerations

Montserrat Fuentes, Joseph Guinness, M. Fuentes, 2016, J. Multivar. Anal..

Air Pollution Metric Analysis While Determining Susceptible Periods of Pregnancy for Low Birth Weight

Joshua L. Warren, Montserrat Fuentes, Amy H. Herring, 2013, ISRN obstetrics and gynecology.

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

Montserrat Fuentes, Joshua Warren, Peter Langlois, 2012, Biometrics.

Spatiotemporal signal detection using continuous shrinkage priors

Dipankar Bandyopadhyay, Brian J Reich, An-Ting Jhuang, 2020, Statistics in medicine.

Comparison of Distributional Statistics ofAquariusand Argo Sea Surface Salinity Measurements

M. Fuentes, Elizabeth Mannshardt, F. Bingham, 2016 .

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

M. Fuentes, A. Olshan, G. Shaw, 2014, Environmental health perspectives.

A class of nonseparable and nonstationary spatial temporal covariance functions

Li Chen, Montserrat Fuentes, Jerry M. Davis, 2008, Environmetrics.

Nonparametric Bayesian models for a spatial covariance 1

M. Fuentes, B. Reich, 2011 .

Bayesian modeling for large spatial datasets

Montserrat Fuentes, Sudipto Banerjee, M. Fuentes, 2012, Wiley interdisciplinary reviews. Computational statistics.

Nonparametric spatial models for extremes: application to extreme temperature data

M. Fuentes, B. Reich, J. Henry, 2012, Extremes.

A framework for evaluating regional-scale numerical photochemical modeling systems

John Irwin, Tyler Fox, Akula Venkatram, 2010, Environmental fluid mechanics.

Multivariate Spatial-Temporal Variable Selection with Applications to Seasonal Tropical Cyclone Modeling

M. Fuentes, J. Guinness, Lian Xie, 2018, 1805.03318.

Spatial Signal Detection Using Continuous Shrinkage Priors

Brian J. Reich, Jacob L. Jones, An-Ting Jhuang, 2019, Technometrics.

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

Montserrat Fuentes, Joshua Warren, Amy Herring, 2012, Environmetrics.

LIKELIHOOD APPROXIMATIONS FOR BIG NONSTATIONARY SPATIAL TEMPORAL LATTICE DATA

M. Fuentes, J. Guinness, 2015 .

A Spatio-temporal Model for Detecting the Effect of Cocaine Use Disorder on Functional Connectivity.

Montserrat Fuentes, Jifang Zhao, Qiong Zhang, 2021, Spatial statistics.

Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation

Huixia Judy Wang, Ying Sun, Montserrat Fuentes, 2016, Technometrics.

Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation

M. Fuentes, J. Guinness, Amanda Muyskens, 2022, J. Comput. Graph. Stat..

Comment on Article by Page and Quintana

M. Fuentes, B. Reich, 2016 .

A New Class of Nonstationary Spatial Models

Montserrat Fuentes, Elise Richard, M. Fuentes, 2001 .

Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean

M. Fuentes, S. Doney, D. M. Glover, 2000 .

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

Brian J. Reich, Montserrat Fuentes, Hossein Moradi Rekabdarkolaee, 2019, Spatial Statistics.

A high frequency kriging approach for non‐stationary environmental processes

Montserrat Fuentes, M. Fuentes, 2001 .

Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression

M. Fuentes, B. Reich, A. Herring, 2010, Biometrics.