2 papers
stat.ME2026
Estimating Item Difficulty with Large Language Models as Experts
Diana Kolesnikova, Kirill Fedyanin, Abe D. Hofman +2
Accurate estimates of item difficulty are essential for valid assessment and effective adaptive learning. However, for newly created tasks, response data are typically unavailable.…
stat.CO2025
Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
Sébastien Garneau, Carlos T. P. Zanini, Alexandra M. Schmidt
Spatial statistics often rely on Gaussian processes (GPs) to capture dependencies across locations. However, their computational cost increases rapidly with the number of locations…