Standard

Using data-compressors for statistical analysis of problems on homogeneity testing and classification. / Ryabko, Boris; Guskov, Andrey; Selivanova, Irina.

2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 121-125 8006502 (IEEE International Symposium on Information Theory - Proceedings).

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

Harvard

Ryabko, B, Guskov, A & Selivanova, I 2017, Using data-compressors for statistical analysis of problems on homogeneity testing and classification. in 2017 IEEE International Symposium on Information Theory, ISIT 2017., 8006502, IEEE International Symposium on Information Theory - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 121-125, 2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, 25.06.2017. https://doi.org/10.1109/ISIT.2017.8006502

APA

Ryabko, B., Guskov, A., & Selivanova, I. (2017). Using data-compressors for statistical analysis of problems on homogeneity testing and classification. In 2017 IEEE International Symposium on Information Theory, ISIT 2017 (pp. 121-125). [8006502] (IEEE International Symposium on Information Theory - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2017.8006502

Vancouver

Ryabko B, Guskov A, Selivanova I. Using data-compressors for statistical analysis of problems on homogeneity testing and classification. In 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 121-125. 8006502. (IEEE International Symposium on Information Theory - Proceedings). doi: 10.1109/ISIT.2017.8006502

Author

Ryabko, Boris ; Guskov, Andrey ; Selivanova, Irina. / Using data-compressors for statistical analysis of problems on homogeneity testing and classification. 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 121-125 (IEEE International Symposium on Information Theory - Proceedings).

BibTeX

@inproceedings{b4d592e76f924fdd9e7e877f12968e16,
title = "Using data-compressors for statistical analysis of problems on homogeneity testing and classification",
abstract = "Nowadays data compressors are applied to many problems of text analysis, but many such applications are developed outside of the framework of mathematical statistics. In this paper we overcome this obstacle and show how several methods of classical mathematical statistics can be developed based on applications of the data compressors.",
keywords = "Classification, Data compression, Homogeneity test, Hypothesis testing, Universal code",
author = "Boris Ryabko and Andrey Guskov and Irina Selivanova",
year = "2017",
month = aug,
day = "9",
doi = "10.1109/ISIT.2017.8006502",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "121--125",
booktitle = "2017 IEEE International Symposium on Information Theory, ISIT 2017",
address = "United States",
note = "2017 IEEE International Symposium on Information Theory, ISIT 2017 ; Conference date: 25-06-2017 Through 30-06-2017",

}

RIS

TY - GEN

T1 - Using data-compressors for statistical analysis of problems on homogeneity testing and classification

AU - Ryabko, Boris

AU - Guskov, Andrey

AU - Selivanova, Irina

PY - 2017/8/9

Y1 - 2017/8/9

N2 - Nowadays data compressors are applied to many problems of text analysis, but many such applications are developed outside of the framework of mathematical statistics. In this paper we overcome this obstacle and show how several methods of classical mathematical statistics can be developed based on applications of the data compressors.

AB - Nowadays data compressors are applied to many problems of text analysis, but many such applications are developed outside of the framework of mathematical statistics. In this paper we overcome this obstacle and show how several methods of classical mathematical statistics can be developed based on applications of the data compressors.

KW - Classification

KW - Data compression

KW - Homogeneity test

KW - Hypothesis testing

KW - Universal code

UR - http://www.scopus.com/inward/record.url?scp=85034015843&partnerID=8YFLogxK

U2 - 10.1109/ISIT.2017.8006502

DO - 10.1109/ISIT.2017.8006502

M3 - Conference contribution

AN - SCOPUS:85034015843

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 121

EP - 125

BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017

Y2 - 25 June 2017 through 30 June 2017

ER -

ID: 25330969