The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Of Bugs and Birds: Markov Chain Monte Carlo for Hierarchical Modeling in Wildlife Research
Abstract
William A. Link, Emmanuelle Cam, James D. Nichols, Evan G. Cooch, Of Bugs and Birds: Markov Chain Monte Carlo for Hierarchical Modeling in Wildlife Research, The Journal of Wildlife Management, Vol. 66, No. 2 (Apr., 2002), pp. 277-291
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
Cited by
Tigers and their prey: Predicting carnivore densities from prey abundance
Karanth, K. U., Nichols, J. D., Kumar, N. S., Link, W. A., & Hines, J. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0306210101 · Cited by 667
Self-citationRisks and Decisions for Conservation and Environmental Management
Burgman, M. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614279 · Cited by 498
A HIERARCHICAL MODEL FOR SPATIAL CAPTURE–RECAPTURE DATA
Royle, J. A., & Young, K. V. (2008) · Ecology · doi:10.1890/07-0601.1 · Cited by 414
Link, W. A., & Eaton, M. J. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2011.00131.x · Cited by 351
Self-citationAnalysis of Resource Selection Using Utilization Distributions
MILLSPAUGH, J. J., NIELSON, R. M., McDONALD, L., MARZLUFF, J. M., GITZEN, R. A., RITTENHOUSE, C. D., HUBBARD, M. W., & SHERIFF, S. L. (2006) · Journal of Wildlife Management · doi:10.2193/0022-541x(2006)70[384:aorsuu]2.0.co;2 · Cited by 266
Metadata
- Authors
- Link, W. A., Cam, E., Nichols, J. D., & Cooch, E. G.
- Venue
- The Journal of Wildlife Management
- Publisher
- JSTOR
- Published
- 2002-04
- Volume
- 66
- Issue
- 2
- Pages
- 277
- ISSN
- 0022-541X (ISSN-L)
- OpenAlex
- W1974916427
- Cited by
- 237
- References
- 2
- FWCI
- 15.48
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Of Bugs and Birds: Markov Chain Monte Carlo for Hierarchical Modeling in Wildlife Research. https://app.cochat.ai/papers/10.2307/3803160
- The paper
- Link, W. A., Cam, E., Nichols, J. D., & Cooch, E. G. (2002). Of Bugs and Birds: Markov Chain Monte Carlo for Hierarchical Modeling in Wildlife Research. The Journal of Wildlife Management. https://doi.org/10.2307/3803160
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.
