1 citations · 2 across the 5 of their papers we have counts for
7 papers
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…
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…
On the Estimation of Peer Effects for Sampled Networks
Mamadou Yauck
This paper deals with the estimation of exogeneous peer effects for partially observed networks under the new inferential paradigm of design identification, which characterizes the…
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…
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…
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…
Sampling from Networks: Respondent-Driven Sampling
Mamadou Yauck, Erica E. M. Moodie, Herak Apelian +6
Respondent-Driven Sampling (RDS) is a variant of link-tracing, a sampling technique for surveying hard-to-reach communities that takes advantage of community members' social networ…