The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Information projections revisited
Abstract
The goal of this paper is to complete results available about I-projections, reverse I-projections, and their generalized versions, with focus on linear and exponential families. Pythagorean-like identities and inequalities are revisited and generalized, and generalized maximum-likelihood (ML) estimates for exponential families are introduced. The main tool is a new concept of extension of exponential families, based on our earlier results on convex cores of measures.
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Citations
Cites
$I$-Divergence Geometry of Probability Distributions and Minimization Problems
Csiszar, I. (1975) · The Annals of Probability · doi:10.1214/aop/1176996454 · Cited by 1,645
Cited by
Information Theory and Statistics: A Tutorial
Csiszár, I., & Shields, P. C. (2004) · Foundations and Trends™ in Communications and Information Theory · doi:10.1561/0100000004 · Cited by 420
Metadata
- Authors
- Csiszar, I., & Matus, F.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2003-06
- Volume
- 49
- Issue
- 6
- Pages
- 1474-1490
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2110156410
- Cited by
- 169
- References
- 1
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Csiszar, I., & Matus, F. (2003). Information projections revisited. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2003.810633
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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.
