An upper-bound on second-order dependency

Siwei Lyu

doi:10.1109/ChinaSIP.2013.6625288

An upper-bound on second-order dependency

Siwei Lyu

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, we study the upper bound of second order statistical correlation. We provide a condition for a random variable reaching the upper-bound, and an algorithm that transform any variable to have the maximum second order statistical correlation.

Original language	English
Title of host publication	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
Pages	16-19
Number of pages	4
DOIs	https://doi.org/10.1109/ChinaSIP.2013.6625288
State	Published - 2013
Event	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China Duration: Jul 6 2013 → Jul 10 2013

Publication series

Name	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Conference

Conference	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
Country/Territory	China
City	Beijing
Period	07/6/13 → 07/10/13

Keywords

Information theory
Second order dependency
Upper-bound

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10.1109/ChinaSIP.2013.6625288

Cite this

Lyu, S. (2013). An upper-bound on second-order dependency. In 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings (pp. 16-19). Article 6625288 (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings). https://doi.org/10.1109/ChinaSIP.2013.6625288

@inproceedings{904cc463961143bdab632b88822e6b22,

title = "An upper-bound on second-order dependency",

abstract = "In this work, we study the upper bound of second order statistical correlation. We provide a condition for a random variable reaching the upper-bound, and an algorithm that transform any variable to have the maximum second order statistical correlation.",

keywords = "Information theory, Second order dependency, Upper-bound",

author = "Siwei Lyu",

year = "2013",

doi = "10.1109/ChinaSIP.2013.6625288",

language = "English",

isbn = "9781479910434",

series = "2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings",

pages = "16--19",

booktitle = "2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings",

note = "2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 ; Conference date: 06-07-2013 Through 10-07-2013",

}

Lyu, S 2013, An upper-bound on second-order dependency. in 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings., 6625288, 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings, pp. 16-19, 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013, Beijing, China, 07/6/13. https://doi.org/10.1109/ChinaSIP.2013.6625288

An upper-bound on second-order dependency. / Lyu, Siwei.
2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings. 2013. p. 16-19 6625288 (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lyu, Siwei

PY - 2013

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AB - In this work, we study the upper bound of second order statistical correlation. We provide a condition for a random variable reaching the upper-bound, and an algorithm that transform any variable to have the maximum second order statistical correlation.

KW - Information theory

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DO - 10.1109/ChinaSIP.2013.6625288

M3 - Conference contribution

AN - SCOPUS:84889602844

SN - 9781479910434

T3 - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

SP - 16

EP - 19

BT - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

T2 - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013

Y2 - 6 July 2013 through 10 July 2013

ER -

An upper-bound on second-order dependency

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