The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Graphical Models
Open accessAbstract
Statistical applications in fields such as bioinformatics, information retrieval, speech processing, image processing and communications often involve large-scale models in which thousands or millions of random variables are linked in complex ways. Graphical models provide a general methodology for approaching these problems, and indeed many of the models developed by researchers in these applied fields are instances of the general graphical model formalism. We review some of the basic ideas underlying graphical models, including the algorithmic ideas that allow graphical models to be deployed in large-scale data analysis problems. We also present examples of graphical models in bioinformatics, error-control coding and language processing.
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Cites
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Cited by
Rue, H., Martino, S., & Chopin, N. (2009) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2008.00700.x · Cited by 5,279
Discrete Signal Processing on Graphs
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Qualia: The Geometry of Integrated Information
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The problem of infra-marginality in outcome tests for discrimination
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Multifaceted aspects of chunking enable robust algorithms
Acuna, D. E., Wymbs, N. F., Reynolds, C. A., Picard, N., Turner, R. S., Strick, P. L., Grafton, S. T., & Kording, K. P. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00028.2014 · Cited by 54
Metadata
- Authors
- Jordan, M. I.
- Venue
- Statistical Science
- Publisher
- Institute of Mathematical Statistics
- Published
- 2004-02-01
- Volume
- 19
- Issue
- 1
- Pages
- 140-155
- ISSN
- 0883-4237 (ISSN-L)
- OpenAlex
- W4235499294
- Cited by
- 420
- References
- 27
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
