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Markov Chain Monte Carlo in Practice
Overview
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Research works printed but not linked: 2
- Casella G., 1992, The American Statistician, 46, 167, 10.1080/00031305.1992.10475878 · DOI · Paper page
- Chib S., 1995, The American Statistician, 49, 327, 10.1080/00031305.1995.10476177 · DOI · Paper page
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Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,908
Bayesian Measures of Model Complexity and Fit
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00353 · Cited by 151
McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
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
Metadata
- Authors
- Gasparini, M.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1997-08
- Volume
- 39
- Issue
- 3
- Pages
- 338-338
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W4248373945
- Cited by
- 1,879
- References
- 0
- FWCI
- 44.46
- 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.
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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: Markov Chain Monte Carlo in Practice. https://app.cochat.ai/papers/10.1080/00401706.1997.10485132
- The paper
- Gasparini, M. (1997). Markov Chain Monte Carlo in Practice. Technometrics. https://doi.org/10.1080/00401706.1997.10485132
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.
