Research

Interests

My research interests include Bayesian modeling, spatial and space-time statistics, and applications to environmental data.


Current Research Projects

Environmental Health Effects on Infant Bronchiolitis: Joint work with Chantel Sloan in the Health Science Department at BYU and Matt Heaton in the Department of Statistics at BYU. Co-PI for NIH grant "Spatial Uncertainty: Data, Modeling, and Communication." This video highlights some of our previous work.

Analysis of Sea Level Along the US Coast: Joint with Claudia Tebaldi at Climate Central, Steve Sain at The Climate Corporation, William Christensen in the Department of Statistics at BYU, and Nate Sandholtz, a PhD student at Simon Fraser University.

Scalable Statistical Validation and Uncertainty Quantification for Large Spatio-Temporal Datasets: NSF grant with Matt Heaton and Shane Reese in the Statistics Department at BYU, Will Kleiber in the Applied Math Department at UC-Boulder, and Doug Nychka at the National Center for Atmospheric Research.

Test Speededness and First-Year Law Student Grades: Joint with Kif Augustine-Adams and Jim Rasband in the Law School at BYU.

Remote Sensing and Signal Processing for Monitoring Proliferation Activity: Joint work with Gus Williams in the Civil and Environmental Engineering Department at BYU, and Todd Moon and Jake Gunther in the Electrical and Computer Engineering Department at Utah State University.


Some Previous Research

Bayesian Spatial Probit Model for Categorical Data: Research building extensively on my dissertation work with Kate Calder at The Ohio State University. R package for binary spatial classification: spProbit (Berrett, C. and Calder, C. A. "Bayesian spatial binary classification," Spatial Statistics, 16, 72-102.)

Bayesian Nonparametric methods for Material Identification in Hyperspectral Images: Joint work with Gus Williams in the Civil and Environmental Engineering Department at BYU, and Todd Moon and Jake Gunther in the Electrical and Computer Engineering Department at Utah State University. (Berrett, C., Williams, G. P., Moon, T., and Gunther, J. (2014) "A Bayesian nonparametric model for temperature-emissivity separation of long-wave hyperspectral images," Technometrics, 56, 200-211.)

Analysis of Foreign Aid Allocation in Malawi: Joint with Mike Findley in the Department of Government at University of Texas, Austin, Philip White, a PhD student in the Department of Statistics at Duke University, and Shannon Neeley-Tass in the Department of Statistics at BYU.


Most Recent Curriculum Vitae

CV


Some Fun Research Highlights

My interview on BYU Radio's The Morning Show (starting at minute 82).

BYU News release about my work with hyperspectral images.