Multievent: An Extension of Multistate Capture–Recapture Models to Uncertain States

By R. Pradel. Biometrics, 2005

487 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/bc4aac760be78f97774d76873dc84cce12758fe3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. James D. Nichols
2. R. Pradel
3. D. MacKenzie
4. J. Lebreton
5. L. Bailey
6. Olivier Gimenez
7. Richard J. Barker
8. J. A. Spendelow

In Genetics

1. J. Lebreton
2. James D. Nichols
3. Olivier Gimenez
4. J. Gaillard
5. Rémi Choquet
6. L. Bailey
7. E. Cam
8. D. MacKenzie

In Statistics and Probability

1. R. Pradel
2. James D. Nichols
3. L. Bailey
4. Olivier Gimenez
5. J. Lebreton
6. D. MacKenzie
7. J. A. Spendelow
8. Richard J. Barker

Citations in the corpus

• Marking hard-shelled gastropods: tag loss, impact on life-history traits, and perspectives in biology (2007, background): “Recently, these multi-state models have been extended to account for uncertainty in state assessment as, for instance, misidentification of reproductive status (Pradel 2005).”
• Program E-Surge: A Software Application for Fitting Multievent Models (2009, methodology): “…notation which generally follows Pradel (2005) the set of events, where the v 1 = ‘not seen’ Unlike traditional practice in CR but similar to Fujiwara and Caswell (2002), Pradel (2005) and consistent to Markov Chain practice MacDonald and Zucchini (2000), the dead ( † ) is explicity included in E .”
• Individual heterogeneity and capture–recapture models: what, why and how? (2018, methodology): “Hidden Markov models are now commonly used in CR studies, but specific applications to change in latent demographic parameters are still rare (Pradel 2005, Cubaynes et al. 2010).”
• Chapter 3 Modeling Individual Animal Histories with Multistate Capture–Recapture Models (2009, methodology): “However, MSMRmodels do not represent an endpoint in generality, as illustrated by the recent appearance of a further generalization, the uncertain state models, or ‘‘multievent models’’ (Pradel, 2005), discussed below.”
• Advances and applications of occupancy models (2014, methodology): “The models resemble the multistate models described above and are analogous to the multievent models employed in mark–recapture studies to deal with state uncertainty (Pradel 2005).”