On bounding the union probability using partial weighted information

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Standard

On bounding the union probability using partial weighted information. / Yang, Jun; Alajaji, Fady; Takahara, Glen.

In: Statistics and Probability Letters, Vol. 116, 2016, p. 38-44.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Yang, J, Alajaji, F & Takahara, G 2016, 'On bounding the union probability using partial weighted information', Statistics and Probability Letters, vol. 116, pp. 38-44. https://doi.org/10.1016/j.spl.2016.04.017

APA

Yang, J., Alajaji, F., & Takahara, G. (2016). On bounding the union probability using partial weighted information. Statistics and Probability Letters, 116, 38-44. https://doi.org/10.1016/j.spl.2016.04.017

Vancouver

Yang J, Alajaji F, Takahara G. On bounding the union probability using partial weighted information. Statistics and Probability Letters. 2016;116:38-44. https://doi.org/10.1016/j.spl.2016.04.017

Author

Yang, Jun ; Alajaji, Fady ; Takahara, Glen. / On bounding the union probability using partial weighted information. In: Statistics and Probability Letters. 2016 ; Vol. 116. pp. 38-44.

Bibtex

@article{26b14cda8b944f22813a4fdcda0f6ac5,
title = "On bounding the union probability using partial weighted information",
abstract = "Lower bounds on the finite union probability are established in terms of the individual event probabilities and a weighted sum of the pairwise event probabilities. The lower bounds have at most pseudo-polynomial computational complexity and generalize recent analytical bounds.",
keywords = "Linear programming, Lower and upper bounds, Optimal bounds, Probability of a finite union of events",
author = "Jun Yang and Fady Alajaji and Glen Takahara",
note = "Funding Information: This work was supported in part by NSERC of Canada . Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",
year = "2016",
doi = "10.1016/j.spl.2016.04.017",
language = "English",
volume = "116",
pages = "38--44",
journal = "Statistics & Probability Letters",
issn = "0167-7152",
publisher = "Elsevier BV * North-Holland",

}

RIS

TY - JOUR

T1 - On bounding the union probability using partial weighted information

AU - Yang, Jun

AU - Alajaji, Fady

AU - Takahara, Glen

N1 - Funding Information: This work was supported in part by NSERC of Canada . Publisher Copyright: © 2016 Elsevier B.V.

PY - 2016

Y1 - 2016

N2 - Lower bounds on the finite union probability are established in terms of the individual event probabilities and a weighted sum of the pairwise event probabilities. The lower bounds have at most pseudo-polynomial computational complexity and generalize recent analytical bounds.

AB - Lower bounds on the finite union probability are established in terms of the individual event probabilities and a weighted sum of the pairwise event probabilities. The lower bounds have at most pseudo-polynomial computational complexity and generalize recent analytical bounds.

KW - Linear programming

KW - Lower and upper bounds

KW - Optimal bounds

KW - Probability of a finite union of events

UR - http://www.scopus.com/inward/record.url?scp=84979737527&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2016.04.017

DO - 10.1016/j.spl.2016.04.017

M3 - Journal article

AN - SCOPUS:84979737527

VL - 116

SP - 38

EP - 44

JO - Statistics & Probability Letters

JF - Statistics & Probability Letters

SN - 0167-7152

ER -

ID: 361431806