The use of auxiliary variables in capture-recapture modelling: An overview
By K. Pollock. 2002
150 citations recorded by the source corpus.
Subfields: Ecology, Epidemiology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/fe02defc624413ec918031d587ad2fa8f7241cd3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- J. Lebreton
- R. Pradel
- James D. Nichols
- Olivier Gimenez
- Richard J. Barker
- J. A. Spendelow
- J. Gaillard
- L. Thomas
In Epidemiology
- Richard Parker
- Byron J. T. Morgan
- Steve P. Brooks
- James D. Nichols
- Ruth King
- L. Thomas
- Olivier Gimenez
- L. E. Jamieson
In Statistics and Probability
- J. Lebreton
- R. Pradel
- James D. Nichols
- Olivier Gimenez
- J. A. Spendelow
- Richard J. Barker
- E. Cam
- J. Gaillard
Citations in the corpus
- WinBUGS for population ecologists: bayesian modeling using markov chain Monte Carlo methods (2009, methodology): “We now turn to the incorporation of covariates in the CJS model (North and Morgan 1979; Pollock et al. 1984; Clobert and Lebreton 1985; Lebreton et al. 1992; see Pollock 2002 for a review).”
- Individual heterogeneity and capture–recapture models: what, why and how? (2018, background): “Then, the contribution of individual i to the model likelihood is: Pr h p pi( ) = −( )φ φ1 (1) Now let us assume that we are able to measure individual heterogeneity under the form of an individual covariate, say xi, which takes a specific value for individual i (Pollock 2002).”
- Chapter 3 Modeling Individual Animal Histories with Multistate Capture–Recapture Models (2009, background): “Joe and Pollock (2002) and Ergon et al. (2009) have developed models that permit survival during an interval to depend on the states at occasions k and k þ 1 (states u and v), by assuming different distributions of transition times during an interval.”