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

Boris Ryabko; Andrey Guskov; Irina Selivanova

doi:10.1109/ISIT.2017.8006502

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

Boris Ryabko, Andrey Guskov, Irina Selivanova

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

1 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Название основной публикации	2017 IEEE International Symposium on Information Theory, ISIT 2017
Издатель	Institute of Electrical and Electronics Engineers Inc.
Страницы	121-125
Число страниц	5
ISBN (электронное издание)	9781509040964
DOI	https://doi.org/10.1109/ISIT.2017.8006502
Состояние	Опубликовано - 9 авг 2017
Опубликовано для внешнего пользования	Да
Событие	2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Германия Продолжительность: 25 июн 2017 → 30 июн 2017

Серия публикаций

Название	IEEE International Symposium on Information Theory - Proceedings
ISSN (печатное издание)	2157-8095

Конференция

Конференция	2017 IEEE International Symposium on Information Theory, ISIT 2017
Страна	Германия
Город	Aachen
Период	25.06.2017 → 30.06.2017

Доступ к документу

10.1109/ISIT.2017.8006502

Link to publication in Scopus

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Цитировать

Ryabko, B., Guskov, A., & Selivanova, I. (2017). Using data-compressors for statistical analysis of problems on homogeneity testing and classification. В 2017 IEEE International Symposium on Information Theory, ISIT 2017 (стр. 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

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. стр. 121-125 (IEEE International Symposium on Information Theory - Proceedings).

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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",

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

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. стр. 121-125 8006502 (IEEE International Symposium on Information Theory - Proceedings).

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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