1 This study presents a new boosting method for capture-recapture models, rooted in predictive2 performance and machine-learning. The regularization algorithm combines Expectation-Maximization and 3 boosting to yield a type of multimodel inference, including automatic variable selection and control of model 4 complexity. By analyzing simulations and a real dataset, this study shows the qualitat...

Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark-recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools...

1. A mark–recapture study was conducted on the American Apollo butterfly Parnassius clodius Menetries during three field seasons (1998–2000) to examine its movement patterns over the course of a season within a sagebrush meadow in Grand Teton National Park, Wyoming, U.S.A. The study examined how resources affected butterfly distribution patterns and used mark–recapture data to gain insight into...

Road traffic injuries are a major cause of preventable death in sub-Saharan Africa. Accurate epidemiologic data are scarce and under-reporting from primary data sources is common. Our objectives were to estimate the incidence of road traffic deaths in Malawi using capture-recapture statistical analysis and determine what future efforts will best improve upon this estimate. Our capture-recapture...

Pradel model mark-release-recapture estimates of survivorship, phi, recruitment, f, and the rate of density-independent population growth, lambda, are presented for eight mark-recapture studies of the screwworm Cochliomyia hominivorax (Coquerel) (Diptera: Calliphoridae) from Costa Rica, totalling 19 573 released and 4476 recaptured flies. Corroborative estimates of survivorship and the rate of ...

Both capture-recapture and band-recovery studies can be conveniently modelled by one approach. The key is to view these methods as studies of cohort survival processes. Thus, in capture-recapture, as in band-recovery, attention is focused on survival rate, not population size. Probability models for the data are conditional on the known releases initiating each cohort. The first resampling of a...

Individual heterogeneity and identifiability in capture–recapture models.— Individual heterogeneity in detection probabilities is a far more serious problem for capture–recapture modeling than has previously been recognized. In this note, I illustrate that population size is not an identifiable parameter under the general closed population mark–recapture model Mh. The problem of identifiability...

The probability capturing all individuals in the population is hardly ever one. Unless recapture probabilities are high, consistently similar and show no bias towards any particular sex, age or size-group, this can lead to incorrect inferences of demographic parameters (ref). Mark-recapture models are designed to handle such data. When individuals are uniquely marked, the recapture probability ...

This glossary provides basic definitions for terms that have a specific meaning in the application of the capture-recapture methodology, particularly with respect to standard techniques for the application of log linear models to multiple lists. In epidemiology, capture-recapture is used for prevalence estimation. It is intended that, as well as being a central point of reference for terms used...