3 papers
stat.ME2026
A reduced rank model for spatial categorical data with many classes
Paul B May, Andrew Simpson, Semhar Michael
We develop an identifiable reduced-rank spatial multinomial model for categorical data with many classes. The model represents class-specific spatial effects through a low-dimensio…
stat.AP2025
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
Paul B. May, Andrew O. Finley
The USDA Forest Inventory and Analysis (FIA) program conducts a national forest inventory for the United States through a network of permanent field plots. FIA produces estimates o…
stat.AP2025
Leveraging national forest inventory data to estimate forest carbon density status and trends for small areas
Elliot S. Shannon, Andrew O. Finley, Paul B. May +5
National forest inventory (NFI) data are often costly to collect, which inhibits efforts to estimate parameters of interest for small spatial, temporal, or biophysical domains. Tra…