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pro vyhledávání: '"Alexander G. Tartakovsky"'
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
Autor:
Alexander G. Tartakovsky
Publikováno v:
IEEE Transactions on Information Theory. 67:4768-4783
The paper addresses a joint sequential changepoint detection and identification/isolation problem for a general stochastic model, assuming that the observed data may be dependent and non-identically distributed, the prior distribution of the change p
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)
Publikováno v:
IEEE Transactions on Information Theory. 65:511-529
In the 1960s, Shiryaev developed a Bayesian theory of change-point detection in the i.i.d. case, which was generalized in the early 2000s by Tartakovsky and Veeravalli and recently by Tartakovsky (2017) for general stochastic models assuming a certai
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.2653-2662. ⟨10.1109/TSP.2021.3071016⟩
IEEE Transactions on Signal Processing, 2021, 69, pp.2653-2662. ⟨10.1109/TSP.2021.3071016⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.2653-2662. ⟨10.1109/TSP.2021.3071016⟩
IEEE Transactions on Signal Processing, 2021, 69, pp.2653-2662. ⟨10.1109/TSP.2021.3071016⟩
International audience; This article addresses a sequential changepoint detection problem, assuming that the duration of change may be finite and unknown. This problem is of importance for many applications, e.g., for signal and image processing wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601009fdb48447a75f541b1cae2d3706
http://arxiv.org/abs/2102.01310
http://arxiv.org/abs/2102.01310