344 citations · 436 across the 11 of their papers we have counts for
11 papers
Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City
Shuaimin Kang, Krista Gile, Pedro Mateu-Gelabert +1
There is great interest in finding meaningful subgroups of attributed network data. There are many available methods for clustering complete network. Unfortunately, much network da…
Nested Dirichlet Process For Population Size Estimation From Multi-list Recapture Data
Shuaimin Kang, Krista Gile, Megan Price
Heterogeneity of response patterns is important in estimating the size of a closed population from multiple recapture data when capture patterns are different over time and locatio…
Reduced Bias for respondent driven sampling: accounting for non-uniform edge sampling probabilities in people who inject drugs in Mauritius
Miles Q. Ott, Krista J. Gile, Matthew T. Harrison +2
People who inject drugs are an important population to study in order to reduce transmission of blood-borne illnesses including HIV and Hepatitis. In this paper we estimate the HIV…
Selective Harvesting over Networks
Fabricio Murai, Diogo Rennó, Bruno Ribeiro +3
Active search (AS) on graphs focuses on collecting certain labeled nodes (targets) given global knowledge of the network topology and its edge weights under a query budget. However…
Characterizing Branching Processes from Sampled Data
Fabricio Murai, Bruno Ribeiro, Don Towsley +1
Branching processes model the evolution of populations of agents that randomly generate offsprings. These processes, more patently Galton-Watson processes, are widely used to model…
Estimating Hidden Population Size using Respondent-Driven Sampling Data
Mark S. Handcock, Krista J. Gile, Corinne M. Mar
Respondent-Driven Sampling (RDS) is an approach to sampling design and inference in hard-to-reach human populations. Typically, a sampling frame is not available, and population me…