Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy

Abstract

We propose a general and flexible capture-recapture model in continuous time. Our model incorporates time-heterogeneity, observed and unobserved individual heterogeneity, and behavioral response to capture. Behavioral response can possibly have a delayed onset and a finite-time memory. Estimation of the population size is based on the conditional likelihood after use of the EM algorithm. We develop an application to the estimation of the number of adult cannabinoid users in Italy.

Published in at http://dx.doi.org/10.1214/13-AOAS672 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)

References in corpus (2)

• A covariate adjustment for zero-truncated approaches to estimating the size of hidden and elusive populations
• Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy

Cited by in corpus (2)

• Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy
• Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models