A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS †

By L. Thomas, S. T. Buckland, K. Newman, J. Harwood. 2005

112 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0fed7fa6c9f2d1be4ea476d4acb30b8b329c2e11

How researchers see this paper

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

In Artificial Intelligence

1. James D. Nichols
2. Benjamin M. Bolker
3. Richard J. Barker
4. J. A. Spendelow
5. J. Lebreton
6. R. Pradel
7. Anthony R. Ives
8. Easton R. White

In Statistics and Probability

1. James D. Nichols
2. R. Pradel
3. J. A. Spendelow
4. Richard J. Barker
5. J. Lebreton
6. Benjamin M. Bolker
7. Michael Schaub
8. Olivier Gimenez

Citations in the corpus

• Ecological Models and Data in R (2008, methodology): “250,000 in (Thomas et al., 2005)) from the prior distribution, including the prior distribution of the initial values of the state variables.”
• Chapter 3 Modeling Individual Animal Histories with Multistate Capture–Recapture Models (2009, methodology): “, 2002), least squares (White and Lubow, 2002), or using Bayesian approaches (e.g., Elliott and Little, 2000; Millar andMeyer, 2000; Newman et al., 2006; Trenkel et al., 2000; Thomas et al., 2005).”