Zobrazeno 1 - 10
of 89
pro vyhledávání: '"A. Dobrovidov"'
In this paper, we develop methods of nonlinear filtering and prediction of an unobservable Markov chain with a finite set of states. This Markov chain controls coefficients of AR(p) model. Using observations generated by AR(p) model we have to estima
Externí odkaz:
http://arxiv.org/abs/1503.00167
Autor:
Dobrovidov, A. V., Markovich, L. A
In some applications it is necessary to estimate derivatives of probability densities defined on the positive semi-axis. The quality of nonparametric estimates of the probability densities and their derivatives are strongly influenced by smoothing pa
Externí odkaz:
http://arxiv.org/abs/1401.6801
Autor:
Dobrovidov, A. V., Markovich, L. A
We consider nonparametric estimation of the derivative of a probability density function with the bounded support on $[0,\infty)$. Estimates are looked up in the class of estimates with asymmetric gamma kernel functions. The use of gamma kernels is d
Externí odkaz:
http://arxiv.org/abs/1401.6783
Autor:
Galyaev, Andrey A., Dobrovidov, Alexander V., Lysenko, Pavel V., Berlin, Leonid M., Kolygo, Maria A.
Publikováno v:
Advances in Systems Science & Applications; 2024, Vol. 24 Issue 1, p20-28, 9p
Autor:
Andrey A. Galyaev, Alexander V. Dobrovidov, Pavel V. Lysenko, Mikhail E. Shaikin, Victor P. Yakhno
Publikováno v:
Sensors, Vol 20, Iss 7, p 2076 (2020)
The problem of optimal trajectory planning of the unmanned underwater vehicle (UUV) is considered and analytically solved. The task is to minimize the risk of detection of the moving object by a static sonar while moving between two given points on a
Externí odkaz:
https://doaj.org/article/538b05e918414c18b7cc88fa2a7af761
Publikováno v:
In IFAC Proceedings Volumes 2013 46(11):500-505
Autor:
Alexandr V. Dobrovidov
Publikováno v:
Austrian Journal of Statistics, Vol 37, Iss 1 (2016)
This paper considers the problem of interpolation (smoothing) of a partially observable Markov random sequence. For the dynamic observation models, an equation for the interpolation of the posterior probability density is derived. The main goal of th
Externí odkaz:
https://doaj.org/article/fbaeb361632b4c159c1c948d1e821e19
Publikováno v:
Austrian Journal of Statistics, Vol 40, Iss 1&2 (2016)
The problem of stochastic signal filtration under nonparametric uncertainties is considered. A probabilistic description of the signal process is assumed to be completely unknown. The Bayes estimator can not be constructed in this case. However if th
Externí odkaz:
https://doaj.org/article/02d6aa28c8f94c96b90c24841fd6b46b
Autor:
Dobrovidov, A. V.1 dobrovidov@gmail.com, Tevosian, V. E.1 vachik.tevosian@gmail.com
Publikováno v:
Automation & Remote Control. Sep2018, Vol. 79 Issue 9, p1687-1702. 16p.