Candace Berrett
Candace Berrett
Associate Professor of Statistics, Brigham Young University
Verified email at - Homepage
Cited by
Cited by
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
Constructing valid spatial processes on the sphere using kernel convolutions
MJ Heaton, M Katzfuss, C Berrett, DW Nychka
Environmetrics 25 (1), 2-15, 2014
Data augmentation strategies for the Bayesian spatial probit regression model
C Berrett, CA Calder
Computational Statistics & Data Analysis 56 (3), 478-490, 2012
Bayesian spatial binary classification
C Berrett, CA Calder
Spatial Statistics 16, 72-102, 2016
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
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
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
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
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
An Empirical Mode-Spatial Model for Environmental Data Imputation
B Nelsen, D Williams, G Williams, C Berrett
Hydrology 5 (4), 63, 2018
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
Bayesian Probit Regression Models for Spatially-Dependent Categorical Data
C Berrett
The Ohio State University, 2010
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
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
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
Analyzing sea-level change on the east coast with spatiotemporally correlated data
DW Coats, C Berrett, WF Christensen, N Sandholtz
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
Going Viral, Binge-Watching, and Attention Cannibalism
SD Grimshaw, NJ Blades, C Berrett
The American Statistician 74 (4), 380-391, 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
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
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