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Montserrat Fuentes

Affiliations: 
North Carolina State University, Raleigh, NC 
Area:
Statistics
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"Montserrat Fuentes"
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Parents

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Children

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Jarrett J. Barber grad student 2002 NCSU
Prasheen K. Agarwal grad student 2003 NCSU
Man S. Park grad student 2005 NCSU
Kristen M. Foley grad student 2006 NCSU
Liyun Ma grad student 2006 NCSU
Hae-Ryoung Song grad student 2006 NCSU
Jungsoon Choi grad student 2008 NCSU
Eric J. Kalendra grad student 2010 NCSU
Shenek C. Alston grad student 2011 NCSU (Meteorology Tree)
JIngwen Zhou grad student 2012 NCSU
Laura F. Boehm grad student 2013 NCSU

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Publications

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Brantley H, Fuentes M, Guinness J, et al. (2021) SMOOTH DENSITY SPATIAL QUANTILE REGRESSION. Statistica Sinica. 31
Brantley H, Fuentes M, Guinness J, et al. (2021) Smooth Density Spatial Quantile Regression Statistica Sinica
Jhuang AT, Fuentes M, Bandyopadhyay D, et al. (2020) Spatiotemporal signal detection using continuous shrinkage priors. Statistics in Medicine
Joseph AC, Fuentes M, Wheeler DC. (2020) The impact of population mobility on estimates of environmental exposure effects in a case-control study. Statistics in Medicine
Rekabdarkolaee HMRM, Wang Q, Naji Z, et al. (2020) New Parsimonious Multivariate Spatial Model: Spatial Envelope Statistica Sinica
Jhuang AT, Fuentes M, Jones JL, et al. (2019) Spatial Signal Detection Using Continuous Shrinkage Priors. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 61: 494-506
Huang Y, Reich BJ, Fuentes M, et al. (2019) Complete spatial model calibration The Annals of Applied Statistics. 13: 746-766
Rekabdarkolaee HM, Krut C, Fuentes M, et al. (2019) A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data Spatial Statistics. 29: 351-365
Terres MA, Fuentes M, Hesterberg D, et al. (2018) Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil Bayesian Analysis. 13: 1-28
Cunha M, Gamerman D, Fuentes M, et al. (2017) 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
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