activity
20092020
most citedModeling social networks from sampled data

344 citations · 435 across the 10 of their papers we have counts for

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7 papers · 1 filter

stat.AP20203 cited

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…

stat.AP2017

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…

stat.AP2013

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…

stat.AP201178 cited

On the Concept of Snowball Sampling

Mark S. Handcock, Krista J. Gile

This brief comment reflects on the historical and current uses of the term "snowball sampling."

stat.AP20101 cited

The Effect of Differential Recruitment, Non-response and Non-recruitment on Estimators for Respondent-Driven Sampling

Amber Tomas, Krista J. Gile

Respondent-driven sampling is a widely-used network sampling technique, designed to sample from hard-to-reach populations. Estimation from the resulting samples is an area of activ…

stat.AP2010344 cited

Modeling social networks from sampled data

Mark S. Handcock, Krista J. Gile

Network models are widely used to represent relational information among interacting units and the structural implications of these relations. Recently, social network studies have…