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<title>Theory of Stochastic Processes, 2006, № 1-2</title>
<link>http://dspace.nbuv.gov.ua:80/handle/123456789/3056</link>
<description/>
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<dc:date>2026-04-05T16:17:10Z</dc:date>
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<item rdf:about="http://dspace.nbuv.gov.ua:80/handle/123456789/4451">
<title>Vertical and horizontal fluid queues in heavy and low traffic</title>
<link>http://dspace.nbuv.gov.ua:80/handle/123456789/4451</link>
<description>Vertical and horizontal fluid queues in heavy and low traffic
Zakusilo, O.K.; Lysak, N.P.
The paper considers vertical and horizontal ﬂuid queueing systems with consecutive&#13;
service. The workload processes in these systems satisfy the Langevin equations with&#13;
Poisson input. The objective is to investigate the main stationary characteristics in heavy and low traffic.
</description>
<dc:date>2006-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://dspace.nbuv.gov.ua:80/handle/123456789/4450">
<title>Matrix parameter estimation in an autoregression model</title>
<link>http://dspace.nbuv.gov.ua:80/handle/123456789/4450</link>
<description>Matrix parameter estimation in an autoregression model
Yurachkivsky, A.P.; Ivanenko, D.O.
The vector difference equation ξk = Af(ξk−1)+εk, where (εk) is a square integrable&#13;
difference martingale, is considered. A family of estimators ˇAn depending, besides&#13;
the sample size n, on a bounded Lipschitz function is constructed. Convergence in&#13;
distribution of √n (ˇAn − A) as n→∞is proved with the use of stochastic calculus.&#13;
Ergodicity and even stationarity of (εk) is not assumed, so the limiting distribution&#13;
may be, as the example shows, other than normal.
</description>
<dc:date>2006-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://dspace.nbuv.gov.ua:80/handle/123456789/4449">
<title>Existence of generalized local times for Gaussian random fields</title>
<link>http://dspace.nbuv.gov.ua:80/handle/123456789/4449</link>
<description>Existence of generalized local times for Gaussian random fields
Rudenko, A.
We consider a Gaussian centered random ﬁeld that has values in the Euclidean space.&#13;
We investigate the existence of local time for the random ﬁeld as a generalized functional, an element of the Sobolev space constructed for our random ﬁeld. We give the&#13;
sufficient condition for such an existence in terms of the ﬁeld covariation and apply it&#13;
in a few examples: the Brownian motion with additional weight and the intersection&#13;
local time of two Brownian motions.
</description>
<dc:date>2006-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://dspace.nbuv.gov.ua:80/handle/123456789/4448">
<title>Support theorem on stochastic flows with interaction</title>
<link>http://dspace.nbuv.gov.ua:80/handle/123456789/4448</link>
<description>Support theorem on stochastic flows with interaction
Pilipenko, A.Yu.
We prove an analogue of the Stroock–Varadhan theorem for stochastic ﬂows describing&#13;
a motion of interacting particles in a random media. A version of the Itˆo lemma&#13;
for functions on a measure-valued process is obtained.
</description>
<dc:date>2006-01-01T00:00:00Z</dc:date>
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