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Monte Carlo Methods in Bayesian Computation
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Citations
Cited by
An introduction to MCMC for machine learning.
Andrieu, C., de Freitas, N., Doucet, A., & Jordan, M. I. (2003) · Machine Learning · doi:10.1023/a:1020281327116 · Cited by 2,451
The Mixed Logit model: The state of practice
Hensher, D. A., & Greene, W. H. (2003) · Transportation · doi:10.1023/a:1022558715350 · Cited by 2,047
Improving Marginal Likelihood Estimation for Bayesian Phylogenetic Model Selection
Xie, W., Lewis, P. O., Fan, Y., Kuo, L., & Chen, M.-H. (2011) · Systematic Biology · doi:10.1093/sysbio/syq085 · Cited by 1,050
Self-citationQuantile regression: applications and current research areas
Yu, K., Lu, Z., & Stander, J. (2003) · Journal of the Royal Statistical Society: Series D (The Statistician) · doi:10.1111/1467-9884.00363 · Cited by 686
Methods for High-Density Admixture Mapping of Disease Genes
Patterson, N., Hattangadi, N., Lane, B., Lohmueller, K. E., Hafler, D. A., Oksenberg, J. R., Hauser, S. L., Smith, M. W., O’Brien, S. J., Altshuler, D., et al. (2004) · The American Journal of Human Genetics · doi:10.1086/420871 · Cited by 478
Metadata
- Authors
- Chen, M.-H., Shao, Q.-M., & Ibrahim, J. G.
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 2000
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W2024315245
- Cited by
- 911
- References
- 0
- FWCI
- 12.75
- 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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Monte Carlo Methods in Bayesian Computation. https://app.cochat.ai/papers/10.1007/978-1-4612-1276-8
- The paper
- Chen, M.-H., Shao, Q.-M., & Ibrahim, J. G. (2000). Monte Carlo Methods in Bayesian Computation. Springer Series in Statistics. https://doi.org/10.1007/978-1-4612-1276-8
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.
