1 citations · 1 across the 5 of their papers we have counts for
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nonprobsvy -- An R package for modern methods for non-probability surveys
Łukasz Chrostowski, Piotr Chlebicki, Maciej Beręsewicz
The following paper presents nonprobsvy -- an R package for inference based on non-probability samples. The package implements various approaches that can be categorized into three…
Data integration of non-probability and probability samples with deterministic predictive mean matching
Aniela Czerniawska, Piotr Chlebicki, Łukasz Chrostowski +1
We study deterministic predictive mean matching mass imputation estimators to integrate data from probability and non-probability samples. We consider two approaches: predicted-to-…
Quantile balancing inverse probability weighting for non-probability samples
Maciej Beręsewicz, Marcin Szymkowiak, Piotr Chlebicki
The use of non-probability data sources for statistical purposes and for official statistics has become increasingly popular in recent years. However, statistical inference based o…