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stat.ME2026
Recovering Nonlinear Functions of Latent Variables: A Plausible-Value Neural Network Framework
Eunjeong Song, Sehee Hong
When factor scores replace true latent scores in nonlinear prediction, measurement error attenuates the recoverable variance of any th-order component of the regression function…
stat.ME2025
Weighted Conformal Prediction for Survival Analysis under Covariate Shift
Jaeyoung Shin, Chi Hyun Lee, Sangwook Kang
Reliable uncertainty quantification is essential in survival prediction, particularly in clinical settings where erroneous decisions carry high risk. Conformal prediction has attra…