Let z(t) [set membership, variant] Rn be a generalized Poisson process with parameter [lambda] and let A: Rn --> Rn be a linear operator. The conditions of existence and limiting properties as [lambda] --> [infinity] or as [lambda] --> 0 of the stationary distribution of the process x(t) [set membership, variant] Rn which satisfies the equation dx(t) = Ax(t)dt + dz(t) are investigated.Perturbations of dynamical systems multidimensional stable distributions stationary distributions Markov processes
We consider a semistochastic continuous-time continuous-state space random process that undergoes do...
In dynamic reliability, the evolution of a system is described by a piecewise de-terministic Markov ...
We consider a continuous time Markov process (X, L), where X jumps between a finite number of states...
AbstractLet z(t) ∈ Rn be a generalized Poisson process with parameter λ and let A: Rn → Rn be a line...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
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In this paper we consider /-irreducible Markov processes evolving in discrete or continuous time, on...
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Let be a Markov chain with a unique stationary distribution . Let h be a bounded measurable function...
We consider infinite systems of independent Markov chains as processes on the space of particle conf...
Let \s{Xn, n □ 0\s} and \s{Yn, n □ 0\s} be two stochastic processes such that Yn depen...
In this paper we consider a system whose state x changes to sigma(x) if a perturbation occurs at the...
Consider a max-stable process of the form , , where are points of the Poisson process with intensity...
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We consider a semistochastic continuous-time continuous-state space random process that undergoes do...
In dynamic reliability, the evolution of a system is described by a piecewise de-terministic Markov ...
We consider a continuous time Markov process (X, L), where X jumps between a finite number of states...
AbstractLet z(t) ∈ Rn be a generalized Poisson process with parameter λ and let A: Rn → Rn be a line...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
AbstractTechniques for updating the stationary distribution of a finite irreducible Markov chain fol...
This paper considers the Poisson equation associated with time- homogeneous Markov chains on a count...
In this paper we consider /-irreducible Markov processes evolving in discrete or continuous time, on...
AbstractLet \s{Xn, n ⩾ 0\s} and \s{Yn, n ⩾ 0\s} be two stochastic processes such that Yn depends on ...
Let be a Markov chain with a unique stationary distribution . Let h be a bounded measurable function...
We consider infinite systems of independent Markov chains as processes on the space of particle conf...
Let \s{Xn, n □ 0\s} and \s{Yn, n □ 0\s} be two stochastic processes such that Yn depen...
In this paper we consider a system whose state x changes to sigma(x) if a perturbation occurs at the...
Consider a max-stable process of the form , , where are points of the Poisson process with intensity...
AbstractWe consider infinite systems of independent Markov chains as processes on the space of parti...
We consider a semistochastic continuous-time continuous-state space random process that undergoes do...
In dynamic reliability, the evolution of a system is described by a piecewise de-terministic Markov ...
We consider a continuous time Markov process (X, L), where X jumps between a finite number of states...