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Bayesian Models: A Statistical Primer for Ecologists
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Citations
Cited by
Cross validation for model selection: A review with examples from ecology
Yates, L. A., Aandahl, Z., Richards, S. A., & Brook, B. W. (2023) · Ecological Monographs · doi:10.1002/ecm.1557 · Cited by 459
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
Marcot, B. G., & Hanea, A. M. (2021) · Computational Statistics · doi:10.1007/s00180-020-00999-9 · Cited by 417
A guide to Bayesian model checking for ecologists
Conn, P. B., Johnson, D. S., Williams, P. J., Melin, S. R., & Hooten, M. B. (2018) · Ecological Monographs · doi:10.1002/ecm.1314 · Cited by 257
Self-citationThe use of Bayesian priors in Ecology: The good, the bad and the not great
Banner, K. M., Irvine, K. M., & Rodhouse, T. J. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13407 · Cited by 135
Choosing priors in Bayesian ecological models by simulating from the prior predictive distribution
Wesner, J. S., & Pomeranz, J. P. F. (2021) · Ecosphere · doi:10.1002/ecs2.3739 · Cited by 89
Metadata
- Authors
- Hobbs, N. T., & Hooten, M. B.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2015-08-04
- OpenAlex
- W4245399135
- Cited by
- 249
- References
- 0
- FWCI
- 5.62
- Type
- book
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Bayesian Models: A Statistical Primer for Ecologists. https://app.cochat.ai/papers/10.1515/9781400866557
- The paper
- Hobbs, N. T., & Hooten, M. B. (2015). Bayesian Models: A Statistical Primer for Ecologists. Princeton University Press eBooks. https://doi.org/10.1515/9781400866557
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.
