| 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 | 51 | 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 | 46 | 2014 |
| Bayesian spatial binary classification C Berrett, CA Calder Spatial Statistics 16, 72-102, 2016 | 38 | 2016 |
| Data augmentation strategies for the Bayesian spatial probit regression model C Berrett, CA Calder Computational Statistics & Data Analysis 56 (3), 478-490, 2012 | 34 | 2012 |
| 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 | 18 | 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 | 17 | 2018 |
| Nonstationary spatial prediction of soil organic carbon MD Risser, CA Calder, VJ Berrocal, C Berrett The Annals of Applied Statistics 13 (1), 165-188, 2019 | 14 | 2019 |
| 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, 495-512, 2011 | 12 | 2011 |
| An empirical mode-spatial model for environmental data imputation B Nelsen, DA Williams, GP Williams, C Berrett Hydrology 5 (4), 63, 2018 | 10 | 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 | 9 | 2014 |
| Re-thinking spatial confounding in spatial linear mixed models K Khan, C Berrett arXiv preprint arXiv:2301.05743, 2023 | 8 | 2023 |
| 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 1025, 2016 | 7 | 2016 |
| Going viral, binge-watching, and attention cannibalism SD Grimshaw, NJ Blades, C Berrett The American Statistician 74 (4), 380-391, 2020 | 5 | 2020 |
| 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 | 4 | 2020 |
| Modeling sea‐level processes on the US Atlantic Coast C Berrett, WF Christensen, SR Sain, N Sandholtz, DW Coats, C Tebaldi, ... Environmetrics 31 (4), e2609, 2020 | 3 | 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 | 3 | 2019 |
| Bayesian Probit Regression Models for Spatially-Dependent Categorical Data C Berrett The Ohio State University, 2010 | 3 | 2010 |
| Analyzing sea-level change on the east coast with spatiotemporally correlated data DW Coats, C Berrett, WF Christensen, N Sandholtz | 2 | 2015 |
| A Bayesian change point modeling approach to identify local temperature changes related to urbanization C Berrett, B Gurney, D Arthur, T Moon, GP Williams Environmetrics 34 (3), e2794, 2023 | 1 | 2023 |
| A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis MJ Heaton, C Ingersoll, C Berrett, BM Hartman, C Sloan Spatial and Spatio-temporal Epidemiology 38, 100434, 2021 | 1 | 2021 |
