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From the 1 of 5 linked papers with an AI index.

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5 papers

stat.ME2026

Data integration of non-probability and probability samples with deterministic predictive mean matching

Aniela Czerniawska, Piotr Chlebicki, Łukasz Chrostowski +1

The paper develops deterministic predictive mean matching methods to combine probability and non‑probability samples, proving consistency, deriving variance formulas, and evaluatin…

math.PR2025

Splitting infinity: a de Finetti game with state-dependent profit rates and singular control for diffusions

Piotr Chlebicki, Kristoffer Lindensjö

We study a game of resource extraction of a common good under one-dimensional diffusive dynamics with player actions corresponding to singular stochastic control up to absorption a…

stat.ME2025

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…

stat.ME2025

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…

stat.AP2025

singleRcapture: An R Package for Single-Source Capture-Recapture Models

Piotr Chlebicki, Maciej Beręsewicz

Population size estimation is a major challenge in official statistics, social sciences, and natural sciences. The problem can be tackled by applying capture-recapture methods, whi…