3 papers
stat.ME2026
Diagnostics-guided variance-inflated Fay-Herriot estimation from non-probability samples
Andrius Äiginas
Non-probability data sources are increasingly considered in small area estimation, but inverse probability weighting (IPW) gives model-dependent domain estimators whose reliability…
stat.ME2026
Toward design-based inference for data integration
Andrius Äiginas, Ieva BurakauskaitÄ, 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…
stat.ME2026
Small area estimation using incomplete auxiliary information
Donatas Å levinskas, Ieva BurakauskaitÄ, Andrius Äiginas
Auxiliary information is increasingly available from administrative and other data sources, but it is often incomplete and of non-probability origin. We propose a two-step small ar…