Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures

New Orleans, November 2018. Homeless encampment under Pontchartrain Expressway. Photo by Infrogmation of New Orleans, November 2018.

The slides can be found

here , and an Arxiv version of the paper can be found here.

Abstract

Plant-capture is a method used to estimate the size of a target population from the captured number of both target individuals and known “plants” randomly mixed into the population of interest. The method has shown considerable success in estimating population sizes from limited samples in many epidemiological, ecological, and demographic studies. However, previous plant-recapture studies have not systematically accounted for uncertainty in the capture status for the plants. In this work, we propose various approaches to formally incorporate the uncertainty due to multiple factors into the plant-capture model. We further introduce two inference methods and compare their performance in simulation studies. We then apply our methods to estimate the size of the homeless population in several US cities based on the famous “S-night” study conducted by the US Census Bureau.

Yiran Wang
Yiran Wang
Postdoctoral Associate

My current research areas are Bayesian methods and causal mediation analysis.

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