Latent multinomial models for extended batch-mark data.

ABSTRACT: Batch marking is common and useful for many capture-recapture studies where individual marks cannot be applied due to various constraints such as timing, cost, or marking difficulty. When batch marks are used, observed data are not individual capture histories but a set of counts including the numbers of individuals first marked, marked individuals that are recaptured, and individuals captured but released without being marked (applicable to some studies) on each capture occasion. Fitting traditional capture-recapture models to such data requires one to identify all possible sets of capture-recapture histories that may lead to the observed data, which is computationally infeasible even for a small number of capture occasions. In this paper, we propose a latent multinomial model to deal wit

SUBMITTER: Zhang W 

PROVIDER: S-EPMC10953401 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature