A Contribution to the Theory Behind the Capture-Recapture M0 Model: An Improved Estimator
Kyle Vincent

TL;DR
This paper advances the theoretical understanding of the M0 capture-recapture model by proposing a Rao-Blackwellized estimator based on sufficient statistics, with minimal practical impact but significant theoretical contribution.
Contribution
It introduces a Rao-Blackwellized estimator for the M0 model using sufficient statistics, enhancing theoretical insights into capture-recapture estimation.
Findings
The improved estimator is theoretically justified.
Practical improvements on estimates are likely negligible.
Provides simulation code for further research.
Abstract
We explore the use of a sufficient statistic based on the data of samples that are selected under the M_0 capture-recapture closed population model (Schwarz and Seber, 1999). A Rao-Blackwellized version of the estimator based on a sufficient statistic is then presented. Though the improvements made on the preliminary capture-recapture estimates are likely to be negligible, this body of work is primarily intended to contribute to the theory around the capture-recapture models. The code for a simulation is provided in the appendix.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCensus and Population Estimation · Wildlife Ecology and Conservation · Health and Conflict Studies
