Weighted conformal prediction (WCP), a recently proposed framework, provides uncertainty
quantification with the flexibility to accommodate different covariate distributions between …

Distribution-free prediction sets play a pivotal role in uncertainty quantification for complex
statistical models. Their validity hinges on reliable calibration data, which may not be readily …