AbstractLet z(t) ∈ Rn be a generalized Poisson process with parameter λ and let A: Rn → Rn be a linear operator. The conditions of existence and limiting properties as λ → ∞ or as λ → 0 of the stationary distribution of the process x(t) ∈ Rn which satisfies the equation dx(t) = Ax(t)dt + dz(t) are investigated
AbstractA variety of continuous parameter Markov chains arising in applied probability (e.g. epidemi...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
AbstractLet {Xn} be a stationary Gaussian sequence with E{X0} = 0, {X20} = 1 and E{X0Xn} = rn n Let ...
AbstractLet z(t) ∈ Rn be a generalized Poisson process with parameter λ and let A: Rn → Rn be a line...
Let z(t) [set membership, variant] Rn be a generalized Poisson process with parameter [lambda] and l...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
Some models of probabilities are described by generalized stochastic equations. These models (like t...
2000 Mathematics Subject Classification: 60J80, 62P05.The paper continues the study of the randomly ...
AbstractLet X be a discrete random variable with parameter λ = E[X] < ∞ and denote B(n,r,a) = (nrnr)...
AbstractIn this paper, we show there is a stationary distribution of a predator–prey model with modi...
AbstractA discrete-time Markov process on [0, ∞) is considered. The process is generated by selectin...
AbstractWe consider infinite systems of independent Markov chains as processes on the space of parti...
We have random number of independent diffusion processes with absorption on boundaries in some regio...
summary:An iterative procedure for computation of stationary density of autoregressive processes is ...
AbstractIn this paper the concept of Poisson randomization is studied as given in [1, 2] and analogo...
AbstractA variety of continuous parameter Markov chains arising in applied probability (e.g. epidemi...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
AbstractLet {Xn} be a stationary Gaussian sequence with E{X0} = 0, {X20} = 1 and E{X0Xn} = rn n Let ...
AbstractLet z(t) ∈ Rn be a generalized Poisson process with parameter λ and let A: Rn → Rn be a line...
Let z(t) [set membership, variant] Rn be a generalized Poisson process with parameter [lambda] and l...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
Some models of probabilities are described by generalized stochastic equations. These models (like t...
2000 Mathematics Subject Classification: 60J80, 62P05.The paper continues the study of the randomly ...
AbstractLet X be a discrete random variable with parameter λ = E[X] < ∞ and denote B(n,r,a) = (nrnr)...
AbstractIn this paper, we show there is a stationary distribution of a predator–prey model with modi...
AbstractA discrete-time Markov process on [0, ∞) is considered. The process is generated by selectin...
AbstractWe consider infinite systems of independent Markov chains as processes on the space of parti...
We have random number of independent diffusion processes with absorption on boundaries in some regio...
summary:An iterative procedure for computation of stationary density of autoregressive processes is ...
AbstractIn this paper the concept of Poisson randomization is studied as given in [1, 2] and analogo...
AbstractA variety of continuous parameter Markov chains arising in applied probability (e.g. epidemi...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
AbstractLet {Xn} be a stationary Gaussian sequence with E{X0} = 0, {X20} = 1 and E{X0Xn} = rn n Let ...