Research

My research interests lie in small area estimation, hierarchical Bayesian modeling, survey statistics, statistical software, and computing. I am broadly interested in statistical problems motivated by applications to forestry and forest inventory and in answering authentically-motivated research questions from the USDA Forest Service. Central themes in my research include developing novel estimation methods for environmental data and developing simulation-based techniques for the formal evaluation of statistical estimators. I strive to increase practical impact of my research via the development of statistical software such as R packages and interactive dashboards.

Preprints

Stewardson, D., White, G. W., & Groce, A. (2026). Differentially private average treatment effect estimation by propensity score blocking. arXiv Preprint (Forthcoming).

White, G. W., McConville, K. S., & Schumacher, C. S. (2026). A penalized logistic generalized regression estimator. arXiv Preprint (Forthcoming).

Publications

White, G. W., Wieczorek, J. A., Cody, Z. W., Tan, E. X., Chistolini, J. O., McConville, K. S., Frescino, T. S., & Moisen, G. G. (2026). A method for empirically assessing small area estimators via bootstrap-weighted k-nearest-neighbor artificial populations, with applications to forest inventory. Forestry: An International Journal of Forest Research, 99(2), cpaf071. https://doi.org/10.1093/forestry/cpaf071

White, G. W., Finley, A. O., Yamamoto, J. K., Green, J. L., Frescino, T. S., MacFarlane, D. W., Andersen, H.-E., & Domke, G. M. (2026). Hierarchical models for small area estimation using zero-inflated forest inventory variables: Comparison and implementation. Canadian Journal of Forest Research, 56, 1–17. https://doi.org/10.1139/cjfr-2025-0175

White, G. W., Yamamoto, J. K., Elsyad, D. H., Schmitt, J. F., Korsgaard, N. H., Hu, J. K., Gaines, G. C., Frescino, T. S., & McConville, K. S. (2025). Small area estimation of forest biomass via a two-stage model for continuous zero-inflated data. Canadian Journal of Forest Research, 55, 1–19. https://doi.org/10.1139/cjfr-2024-0149

Emick, E., Babcock, C., White, G. W., Hudak, A. T., Domke, G. M., & Finley, A. O. (2023). An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps. Remote Sensing of Environment, 295, 113678. https://doi.org/10.1016/j.rse.2023.113678

Frescino, T. S., Moisen, G. G., Patterson, P. L., Toney, C., & White, G. W. (2023). ‘FIESTA’: A forest inventory estimation and analysis r package. Ecography, 2023(7), e06428. https://doi.org/10.1111/ecog.06428

Frescino, T. S., McConville, K. S., White, G. W., Toney, J. C., & Moisen, G. G. (2022). Small area estimates for national applications: A database to dashboard strategy using FIESTA. Frontiers in Forests and Global Change, Volume 5 - 2022. https://doi.org/10.3389/ffgc.2022.779446

White, G. W., McConville, K. S., Moisen, G. G., & Frescino, T. S. (2021). Hierarchical bayesian small area estimation using weakly informative priors in ecologically homogeneous areas of the interior western forests. Frontiers in Forests and Global Change, Volume 4 - 2021. https://doi.org/10.3389/ffgc.2021.752911

Software

White, G. W. (2026). Gglm: Grammar of graphics for linear model diagnostic plots. https://github.com/graysonwhite/gglm

White, G. W., Wieczorek, J. A., Frescino, T. S., & McConville, K. S. (2026). Kbaabb: Generates an artificial population based on the KBAABB methodology. https://github.com/ufds-lab/kbaabb-package

Frescino, T., Toney, C., White, G., & Yamamoto, J. (2025). FIESTAutils: Utility functions for forest inventory estimation and analysis. https://doi.org/10.32614/CRAN.package.FIESTAutils

White, G., Frick, H., & Couch, S. (2025). Forested: Forest attributes in u.s. states. https://doi.org/10.32614/CRAN.package.forested

Yamamoto, J., Elsyad, D., White, G., Schmitt, J., Korsgaard, N., McConville, K., & Hu, K. (2024). Saeczi: Small area estimation for continuous zero inflated data. https://doi.org/10.32614/CRAN.package.saeczi

Frescino, T. S., Moisen, G. G., Patterson, P. L., Toney, C., & White, G. W. (2023). FIESTA: A forest inventory estimation and analysis r package. USDA Forest Service, Rocky Mountain Research Station.