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20202024
most citedNeighbourhood Bootstrap for Respondent-Driven Sampling

1 citations · 2 across the 5 of their papers we have counts for

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stat.ME2024

Estimating hidden population size from a single respondent-driven sampling survey

Mamadou Yauck, Erica EM Moodie, Alain Fourmigue +4

This work is concerned with the estimation of hard-to-reach population sizes using a single respondent-driven sampling (RDS) survey, a variant of chain-referral sampling that lever…

stat.ME2023★ 1 cited

Small Sample Inference for Two-way Capture Recapture Experiments

Louis-Paul Rivest, Mamadou Yauck

The properties of the generalized Waring distribution defined on the non negative integers are reviewed. Formulas for its moments and its mode are given. A construction as a mixtur…

stat.ME2022

Population Size Estimation for Respondent-Driven Sampling and Capture-Recapture: A Unifying Framework

Mamadou Yauck

This paper deals with the estimation of population sizes for respondent-driven sampling (RDS), a variant of link-tracing sampling that leverages social networks over a number of wa…

stat.ME2020

General Regression Methods for Respondent-Driven Sampling Data

Mamadou Yauck, Erica E. M. Moodie, Herak Apelian +5

Respondent-Driven Sampling (RDS) is a variant of link-tracing sampling techniques that aim to recruit hard-to-reach populations by leveraging individuals' social relationships. As…

stat.ME2020★ 1 cited

Neighbourhood Bootstrap for Respondent-Driven Sampling

Mamadou Yauck, Erica E. M. Moodie, Herak Apelian +5

Respondent-Driven Sampling (RDS) is a form of link-tracing sampling, a sampling technique used for `hard-to-reach' populations that aims to leverage individuals' social relationshi…