The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
State-space models for the dynamics of wild animal populations
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Citations
Cites
Markov Chain Monte Carlo in Practice
(1995) · Chapman & Hall/CRC eBooks · doi:10.1201/b14835 · Cited by 7,757
Sequential Monte Carlo Methods in Practice
(2001) · Springer eBooks · doi:10.1007/978-1-4757-3437-9 · Cited by 7,366
Forecasting, Structural Time Series Models and the Kalman Filter
Fildes, R., Harvey, A. C., West, M., & Harrison, J. (1991) · The Journal of the Operational Research Society · doi:10.2307/2583225 · Cited by 4,682
Forecasting, Structural Time Series Models and the Kalman Filter
Harvey, A. C. (1990) · doi:10.1017/cbo9781107049994 · Cited by 4,195
The Estimation of Animal Abundance and Related Parameters.
Cormack, R. M., & Seber, G. A. F. (1984) · Biometrics · doi:10.2307/2531423 · Cited by 3,289
ON THE USE OF MATRICES IN CERTAIN POPULATION MATHEMATICS
LESLIE, P. H. (1945) · Biometrika · doi:10.1093/biomet/33.3.183 · Cited by 2,671
Caswell, H. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat07481 · Cited by 2,448
Filtering via Simulation: Auxiliary Particle Filters
Pitt, M. K., & Shephard, N. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474153 · Cited by 2,438
Bayesian Forecasting and Dynamic Models
(1997) · Springer Series in Statistics · doi:10.1007/b98971 · Cited by 1,917
SOME FURTHER NOTES ON THE USE OF MATRICES IN POPULATION MATHEMATICS
LESLIE, P. H. (1948) · Biometrika · doi:10.1093/biomet/35.3-4.213 · Cited by 1,437
Cited by
Monitoring change in biodiversity through composite indices
Buckland, S. T., Magurran, A. E., Green, R. E., & Fewster, R. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2004.1589 · Cited by 403
Self-citationLinear and generalized linear mixed models
Bolker, B. M. (2015) · Ecological Statistics · doi:10.1093/acprof:oso/9780199672547.003.0014 · Cited by 339
Coping with uncertainty in ecological advice: lessons from fisheries
Harwood, J., & Stokes, K. (2003) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2003.08.001 · Cited by 281
Auger-Méthé, M., Field, C., Albertsen, C. M., Derocher, A. E., Lewis, M. A., Jonsen, I. D., & Mills Flemming, J. (2016) · Scientific Reports · doi:10.1038/srep26677 · Cited by 141
Estimating demographic parameters using hidden process dynamic models
Gimenez, O., Lebreton, J.-D., Gaillard, J.-M., Choquet, R., & Pradel, R. (2012) · Theoretical Population Biology · doi:10.1016/j.tpb.2012.02.001 · Cited by 86
Metadata
- Authors
- Buckland, S. T., Newman, K. B., Thomas, L., & Koesters, N. B.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 171
- Issue
- 1-2
- Pages
- 157-175
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2083155027
- Cited by
- 324
- References
- 25
- FWCI
- 6.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: State-space models for the dynamics of wild animal populations. https://app.cochat.ai/papers/10.1016/j.ecolmodel.2003.08.002
- The paper
- Buckland, S. T., Newman, K. B., Thomas, L., & Koesters, N. B. (2004). State-space models for the dynamics of wild animal populations. Ecological Modelling. https://doi.org/10.1016/j.ecolmodel.2003.08.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
