Large deviations of probability rank
dc.citation.spage | 27 | en_US |
dc.contributor.author | Arıkan, Erdal | en_US |
dc.coverage.spatial | Sorrento, Italy | en_US |
dc.date.accessioned | 2016-02-08T11:58:24Z | |
dc.date.available | 2016-02-08T11:58:24Z | |
dc.date.issued | 2000 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 25-30 June 2000 | en_US |
dc.description | Conference Name: International Symposium on Information Theory, IEEE 2000 | en_US |
dc.description.abstract | Consider a pair of random variables (X,Y) with distribution P. The probability rank function is defined so that G(x|y) = 1 for the most probable outcome x conditional on Y = y, G(x|y) = 2 for the second most probable outcome, and so on, resolving ties between elements with equal probabilities arbitrarily. The function G was considered in [1] in the context of finding the unknown outcome of a random experience by asking question of the form 'Is the outcome equal to x?' sequentially until the actual outcome is determined. The primary focus in [1], and the subsequent works [2], [3], was to find tight bounds on the moments E[G(X|Y)θ]. The present work is closely related to these works but focuses more directly on the large deviations properties of the probability rank function. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:58:24Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2000 | en |
dc.identifier.doi | 10.1109/ISIT.2000.866317 | en_US |
dc.identifier.issn | 2157-8095 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/27632 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | https://doi.org/10.1109/ISIT.2000.866317 | en_US |
dc.source.title | Proceedings of the International Symposium on Information Theory, IEEE 2000 | en_US |
dc.subject | Channel coding | en_US |
dc.subject | Large deviations | en_US |
dc.subject | Probability rank function | en_US |
dc.subject | Source coding | en_US |
dc.subject | Boundary conditions | en_US |
dc.subject | Convergence of numerical methods | en_US |
dc.subject | Decoding | en_US |
dc.subject | Function evaluation | en_US |
dc.subject | Probability density function | en_US |
dc.subject | Probability distributions | en_US |
dc.subject | Signal encoding | en_US |
dc.subject | Vectors | en_US |
dc.subject | Communication channels (information theory) | en_US |
dc.title | Large deviations of probability rank | en_US |
dc.type | Conference Paper | en_US |
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