Candace Berrett
Candace Berrett
Associate Professor of Statistics, Brigham Young University
Verified email at stat.byu.edu - Homepage
Title
Cited by
Cited by
Year
Spatial characteristics of the difference between MISR and MODIS aerosol optical depth retrievals over mainland Southeast Asia
N Xiao, T Shi, CA Calder, DK Munroe, C Berrett, S Wolfinbarger, D Li
Remote Sensing of Environment 113 (1), 1-9, 2009
482009
Constructing valid spatial processes on the sphere using kernel convolutions
MJ Heaton, M Katzfuss, C Berrett, DW Nychka
Environmetrics 25 (1), 2-15, 2014
272014
Data augmentation strategies for the Bayesian spatial probit regression model
C Berrett, CA Calder
Computational Statistics & Data Analysis 56 (3), 478-490, 2012
232012
Bayesian spatial binary classification
C Berrett, CA Calder
Spatial Statistics 16, 72-102, 2016
202016
Modeling space–time dynamics of aerosols using satellite data and atmospheric transport model output
CA Calder, C Berrett, T Shi, N Xiao, DK Munroe
Journal of agricultural, biological, and environmental statistics 16 (4†…, 2011
122011
The impact of temperature and relative humidity on spatiotemporal patterns of infant bronchiolitis epidemics in the contiguous United States
C Sloan, M Heaton, S Kang, C Berrett, P Wu, T Gebretsadik, N Sicignano, ...
Health & place 45, 46-54, 2017
82017
A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data
DA Williams, B Nelsen, C Berrett, GP Williams, TK Moon
Environmental Modelling & Software 102, 172-184, 2018
62018
Nonstationary Spatial Process Modeling Via Treed Covariate Segmentation, with Application to Soil Organic Carbon Stock Assessment
MD Risser, CA Calder, VJ Berrocal, C Berrett
arXiv preprint arXiv:1608.05655, 2016
52016
Nonstationary spatial prediction of soil organic carbon: Implications for stock assessment decision making
MD Risser, CA Calder, VJ Berrocal, C Berrett
The Annals of Applied Statistics 13 (1), 165-188, 2019
42019
An Empirical Mode-Spatial Model for Environmental Data Imputation
B Nelsen, D Williams, G Williams, C Berrett
Hydrology 5 (4), 63, 2018
42018
A Bayesian Nonparametric Model for Temperature-Emissivity Separation of Long-Wave Hyperspectral Images
C Berrett, GP Williams, T Moon, J Gunther
Technometrics 56 (2), 200-211, 2014
42014
Bayesian Probit Regression Models for Spatially-Dependent Categorical Data
C Berrett
The Ohio State University, 2010
32010
Modeling bronchiolitis incidence proportions in the presence of spatio-temporal uncertainty
MJ Heaton, C Berrett, S Pugh, A Evans, C Sloan
Journal of the American Statistical Association 115 (529), 66-78, 2020
22020
Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data
S Pugh, MJ Heaton, B Hartman, C Berrett, C Sloan, AM Evans, ...
Statistics in medicine 38 (11), 1991-2001, 2019
22019
Optimally smoothed maps of pollution source potential via particle back-trajectories and filtered kriging
WF Christensen, C Berrett
Chemometrics and Intelligent Laboratory Systems 153, 1-8, 2016
22016
Analyzing sea-level change on the east coast with spatiotemporally correlated data
DW Coats, C Berrett, WF Christensen, N Sandholtz
22015
Hierarchical bayesian sparse source separation of hyperspectral signals
TK Moon, JH GŁnther, C Berrett, GP Williams
2013 Asilomar Conference on Signals, Systems and Computers, 888-892, 2013
12013
Going Viral, Binge-Watching, and Attention Cannibalism
SD Grimshaw, NJ Blades, C Berrett
The American Statistician 74 (4), 380-391, 2020
2020
Spatial and covariate-varying relationships among dominant tree species in Utah
MJ Heaton, C Berrett, RJ DeRose, MF Bekker
Environmental and Ecological Statistics 27 (3), 591-607, 2020
2020
A Bayesian Approach to Real-time Spatiotemporal Prediction Systems for Respiratory Syncytial Virus
MJ Heaton, C Ingersoll, C Berrett, B Hartman
Biometrics 1, 16, 2020
2020
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Articles 1–20