19 citations · 29 across the 3 of their papers we have counts for
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math.ST2018
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities
Yilin Zhang, Karl Rohe, Sebastien Roch
Respondent-driven sampling (RDS) is a popular approach to study marginalized or hard-to-reach populations. It collects samples from a networked population by incentivizing particip…
math.ST2018
Asymptotic Seed Bias in Respondent-driven Sampling
Yuling Yan, Bret Hanlon, Sebastien Roch +1
Respondent-driven sampling (RDS) collects a sample of individuals in a networked population by incentivizing the sampled individuals to refer their contacts into the sample. This i…
math.ST2012★ 19 cited
Preconditioning to comply with the Irrepresentable Condition
Jinzhu Jia, Karl Rohe
Preconditioning is a technique from numerical linear algebra that can accelerate algorithms to solve systems of equations. In this paper, we demonstrate how preconditioning can cir…