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Bayesian Methods for Data Analysis
Abstract
Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (
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Cited by
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Bayesian estimation supersedes the t-test
Kruschke, J. K. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0029146 · Cited by 1,530
Kruschke, J. K., & Liddell, T. M. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1221-4 · Cited by 1,288
Rejecting or Accepting Parameter Values in Bayesian Estimation
Kruschke, J. K. (2018) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245918771304 · Cited by 734
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Barry, J. (2011) · Europe’s Journal of Psychology · doi:10.5964/ejop.v7i4.163 · Cited by 563
Metadata
- Authors
- Carlin, B. P., & Louis, T. A.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2008-06-30
- OpenAlex
- W1566333899
- Cited by
- 917
- References
- 0
- FWCI
- 16.33
- Type
- book
- Language
- en
- Open access
- closed
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- Carlin, B. P., & Louis, T. A. (2008). Bayesian Methods for Data Analysis. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/b14884
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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.
