The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Bayesian Methods for Ecology
Abstract
The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology.
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Cited by
Generalized linear mixed models: a practical guide for ecology and evolution
Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.10.008 · Cited by 8,910
Effect size, confidence interval and statistical significance: a practical guide for biologists
Nakagawa, S., & Cuthill, I. C. (2007) · Biological Reviews · doi:10.1111/j.1469-185x.2007.00027.x · Cited by 3,835
The New Statistics: Why and How
Cumming, G. (2014) · Psychological Science · doi:10.1177/0956797613504966 · Cited by 3,200
Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists.
Nakagawa, S., & Schielzeth, H. (2010) · Biological Reviews · doi:10.1111/j.1469-185x.2010.00141.x · Cited by 2,584
Confirmatory path analysis in a generalized multilevel context
Shipley, B. (2009) · Ecology · doi:10.1890/08-1034.1 · Cited by 1,083
Spatial Guilds in the Serengeti Food Web Revealed by a Bayesian Group Model
Baskerville, E. B., Dobson, A. P., Bedford, T., Allesina, S., Anderson, T. M., & Pascual, M. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002321 · Cited by 113
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
Global species richness estimates have not converged
Caley, M. J., Fisher, R., & Mengersen, K. (2014) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.02.002 · Cited by 81
Large Gaps in Canopy Reduce Road Crossing by a Gliding Mammal
van der Ree, R., Cesarini, S., Sunnucks, P., Moore, J. L., & Taylor, A. (2010) · Ecology and Society · doi:10.5751/es-03759-150435 · Cited by 62
Morris, W. K., Vesk, P. A., McCarthy, M. A., Bunyavejchewin, S., & Baker, P. J. (2015) · Ecology and Evolution · doi:10.1002/ece3.1346 · Cited by 51
Self-citationPredicting Bison Migration out of Yellowstone National Park Using Bayesian Models
Geremia, C., White, P. J., Wallen, R. L., Watson, F. G. R., Treanor, J. J., Borkowski, J., Potter, C. S., & Crabtree, R. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016848 · Cited by 37
Bayesian occupancy monitoring for Annamite endemic biodiversity in central Vietnam
Gray, T. N. E., Nguyen Quang, H. A., & Nguyen Van, T. (2014) · Biodiversity and Conservation · doi:10.1007/s10531-014-0685-7 · Cited by 18
Metadata
- Authors
- McCarthy, M. A.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2007-05-07
- OpenAlex
- W605132206
- Cited by
- 756
- References
- 13
- FWCI
- 15.64
- Type
- book
- Language
- en
- Open access
- closed
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