Papers

Global and Episode-Specific Prediction of Recurrent Events Using Longitudinal Health Informatics Data

Yifei Sun, Sy Han Chiou, Chiung-Yu Huang

Statistical Prediction and Machine Learning

Michal Pešta

Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation

Dalei Yu, Xinyu Zhang, Hua Liang

Conformal Prediction for Network-Assisted Regression

Robert Lunde, Elizaveta Levina, Ji Zhu

Prediction of Cognitive Function via Brain Region Volumes with Applications to Alzheimer’s Disease Based on Space-Factor-Guided Functional Principal Component Analysis

Shoudao Wen, Yi Li, Dehan Kong et al.

On the Modeling and Prediction of High-Dimensional Functional Time Series

Jinyuan Chang, Qin Fang, Xinghao Qiao et al.

Advances in Bayesian Model Selection Consistency for High-Dimensional Generalized Linear Models

Jeyong Lee, Minwoo Chae, Ryan Martin

Algorithmic Stability Implies Training-Conditional Coverage for Distribution-Free Prediction Methods

Ruiting Liang, Rina Foygel Barber

Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

Florian Brück, Jean-David Fermanian, Aleksey Min

There exist several testing procedures based on the maximum mean discrepancy (MMD) to address the challenge of model specification. However, these tes...

Confidence on the focal: conformal prediction with selection-conditional coverage

Ying Jin, Zhimei Ren

Selecting informative conformal prediction sets with false coverage rate control

Ulysse Gazin, others

Conformal prediction with conditional guarantees

Isaac Gibbs, others