Toward design-based inference for data integration

Andrius Čiginas, Ieva Burakauskaitė, Jae Kwang Kim

Integrating non-probability samples into finite-population inference typically requires modeling unknown selection probabilities under a missing-at-random (MAR) assumption that is…