Let X(t) be a birth-death Markov process. Here it is shown how the expectation of the time to absorption and of the integral under X(t) up to absorption time can be found by substituting transitions to state 0 by transitions to the initial state of the process, provided the stationary distribution of the modified process exists. Examples of applications to some special cases of birth-death Markov processes are given. STOCHASTIC INTEGRALS; BIRTH AND DEATH PROCESS; MARKOV PROCESSES 1
Basic properties of Brownian motion are used to derive two results concerning birth-death chains. Fi...
Service life of many real-life systems cannot be considered infinite, and thus the systems will be e...
AbstractBy using stochastic calculus for pure jump martingales, we study a class of infinite-dimensi...
this paper a regenerative argument is used to derive an expression for the expectation of the integr...
Integral functionals of Markov processes are widely used in stochastic modeling for applications in ...
Starting from a birth-and-death process defined on {0,1,2,...} with 0 an absorbing state one can co...
This paper presents a method of evaluating the expected value of a path integral for a general Marko...
New integral equations are proposed to determine first-passage-time densities for time- inhomogeneou...
For a birth-death process N(t) with a reflecting state at 0 we propose a method able to construct a ...
The purpose of this note is to point out that Karlin and McGregor's integral representation for the ...
In this paper the continuous-time Markov process for a closed stochastic SIS epidemic model is modif...
Spectral measures and transition probabilities of birth and death processes with A0 #o 0 are obtaine...
Abstract. The Karlin-McGregor representation for the transition probabili-ties of a birth-death proc...
We consider discrete-time birth-death processes with an absorbing state and study the conditional st...
AbstractWe consider discrete-time birth-death processes with an absorbing state and study the condit...
Basic properties of Brownian motion are used to derive two results concerning birth-death chains. Fi...
Service life of many real-life systems cannot be considered infinite, and thus the systems will be e...
AbstractBy using stochastic calculus for pure jump martingales, we study a class of infinite-dimensi...
this paper a regenerative argument is used to derive an expression for the expectation of the integr...
Integral functionals of Markov processes are widely used in stochastic modeling for applications in ...
Starting from a birth-and-death process defined on {0,1,2,...} with 0 an absorbing state one can co...
This paper presents a method of evaluating the expected value of a path integral for a general Marko...
New integral equations are proposed to determine first-passage-time densities for time- inhomogeneou...
For a birth-death process N(t) with a reflecting state at 0 we propose a method able to construct a ...
The purpose of this note is to point out that Karlin and McGregor's integral representation for the ...
In this paper the continuous-time Markov process for a closed stochastic SIS epidemic model is modif...
Spectral measures and transition probabilities of birth and death processes with A0 #o 0 are obtaine...
Abstract. The Karlin-McGregor representation for the transition probabili-ties of a birth-death proc...
We consider discrete-time birth-death processes with an absorbing state and study the conditional st...
AbstractWe consider discrete-time birth-death processes with an absorbing state and study the condit...
Basic properties of Brownian motion are used to derive two results concerning birth-death chains. Fi...
Service life of many real-life systems cannot be considered infinite, and thus the systems will be e...
AbstractBy using stochastic calculus for pure jump martingales, we study a class of infinite-dimensi...