86 citations · 111 across the 5 of their papers we have counts for
5 papers
Sampling distributions and estimation for multi-type Branching Processes
Gonzalo Contador, Bret Hanlon
Consider a multi-dimensional supercritical branching process with offspring distribution in a parametric family. Here, each vector coordinate corresponds to the number of offspring…
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…
Chemo-Dynamical Clustering applied to APOGEE data: Re-Discovering Globular Clusters
Boquan Chen, Elena D'Onghia, Stephen A. Pardy +4
We have developed a novel technique based on a clustering algorithm which searches for kinematically- and chemically-clustered stars in the APOGEE DR12 Cannon data. As compared to…
Regularized Ordinal Regression and the ordinalNet R Package
Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon
Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction ac…
Novel Sampling Design for Respondent-driven Sampling
Mohammad Khabbazian, Bret Hanlon, Zoe Russek +1
Respondent-driven sampling (RDS) is a method of chain referral sampling popular for sampling hidden and/or marginalized populations. As such, even under the ideal sampling assumpti…