Showing stat.APShow all
2 papers · 1 filter
stat.AP2026
Accounting for variable detection functions in temporal abundance modeling via transfer learning
Kevin M. Collins, Erin M. Schliep, Tyler Wagner +1
Relative abundance, measured as the number of animals caught per unit of sampling effort (CPUE), is commonly used to monitor fish and wildlife populations, largely because sampling…
stat.AP2024
Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
Vaidehi Dixit, Scott H. Holan, Christopher K. Wikle
We investigate two asymmetric loss functions, namely LINEX loss and power divergence loss for optimal spatial prediction with area-level data. With our motivation arising from the…