Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Alexander G. Tartakovsky"'
Autor:
Claudia Kirch
Publikováno v:
Statistical Papers.
Autor:
Kirch, Claudia1 (AUTHOR) claudia.kirch@ovgu.de
Publikováno v:
Statistical Papers. Jun2021, Vol. 62 Issue 3, p1559-1561. 3p.
Autor:
Alexander G. Tartakovsky
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2687 (2023)
In the first part of this article, we discuss and generalize the complete convergence introduced by Hsu and Robbins in 1947 to the r-complete convergence introduced by Tartakovsky in 1998. We also establish its relation to the r-quick convergence fir
Externí odkaz:
https://doaj.org/article/4694e6c70cca4216bb4464d4ebb0686d
Publikováno v:
IEEE Transactions on Information Theory. 69:3400-3414
The problem of quickest detection of a change in the distribution of a sequence of independent observations is considered. The pre-change observations are assumed to be stationary with a known distribution, while the post-change observations are allo
Publikováno v:
Proceedings of Moscow Institute of Physics and Technology. 13:33-41
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 56:301-312
Typically, near-Earth space objects are observable for a small fraction of the orbit revolution. In this paper, we consider the problem of identification and fusion of two short optical tracks of near-Earth space objects, as well as the problem of es
Publikováno v:
IEEE Transactions on Signal Processing. 68:3371-3384
Object detection in a cluttered environment, involving noisy measurements of signal over time, is a central problem in radar, sonar, optical, and communications applications. We consider the problem of detecting an object assuming that the distributi
Publikováno v:
Journal of multivariate analysis. 2022. Vol. 190. P. 104977
This paper considers the problem of joint change detection and identification assuming multiple composite post-change hypotheses. We propose a multihypothesis changepoint detection-identification procedure that controls the probabilities of false ala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c7d95e017c9d2c4778520944ad7d3ce
https://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000951
https://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000951
Autor:
Alexander G. Tartakovsky
Publikováno v:
Methodology and Computing in Applied Probability. 21:1303-1336
Assume that there are multiple data streams (channels, sensors) and in each stream the process of interest produces generally dependent and non-identically distributed observations. When the process is in a normal mode (in-control), the (pre-change)