The DOI matches its Crossref record.
Large Deviations Techniques and Applications
Abstract
LDP for Finite Dimensional Spaces.- Applications-The Finite Dimensional Case.- General Principles.- Sample Path Large Deviations.- The LDP for Abstract Empirical Measures.- Applications of Empirical Measures LDP.
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Citations
Cited by
Boyd, S., Ghosh, A., Prabhakar, B., & Shah, D. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.874516 · Cited by 2,439
Estimation of entropy and mutual information
Paninski, L. (2003) · Neural Computation · doi:10.1162/089976603321780272 · Cited by 1,442
Convex Approximations of Chance Constrained Programs
Nemirovski, A., & Shapiro, A. (2007) · SIAM Journal on Optimization · doi:10.1137/050622328 · Cited by 1,160
Field Theory of Non-Equilibrium Systems
Kamenev, A. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139003667 · Cited by 1,122
Shapiro, A. (2003) · Handbooks in Operations Research and Management Science · doi:10.1016/s0927-0507(03)10006-0 · Cited by 916
Metadata
- Authors
- Schmock, U., Dembo, A., & Zeitouni, O.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 2000-12
- Volume
- 95
- Issue
- 452
- Pages
- 1380
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2059120410
- Cited by
- 3,524
- References
- 0
- FWCI
- 123.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Large Deviations Techniques and Applications. https://app.cochat.ai/papers/10.2307/2669805
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- Schmock, U., Dembo, A., & Zeitouni, O. (2000). Large Deviations Techniques and Applications. Journal of the American Statistical Association. https://doi.org/10.2307/2669805
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.
