Add to ORKGWe discuss the dynamics of continuous time semi-markov chains with phase-type waiting times. It is shown that the resulting generalized master equation which governs the marginal transition probability density can be written as a high order differential-difference equation; the order being directly related to the number of phases used to characterize the waiting time
For discrete-time stochastic processes, there is a close connection between return (resp. waiting) t...
We present a theory for the design and analysis of concurrent/distributed systems with real-time a...
AbstractIn this paper we introduce the calculus of interactive generalized semi-Markov processes (IG...
A semi‐Markov process is a generalization of continuous‐time Markov chain, so that the sojourn times...
This title considers the special of random processes known as semi-Markov processes. These possess t...
[[abstract]]In this thesis we mainly aim to compute the expected waiting time of a certain pattern i...
Abstract. We study long run average behavior of generalized semi-Markov pro-cesses with both fixed-d...
Abstract A semi-Markov process is one that changes states in accordance with a Markov chain but take...
In this paper, we investigate the semi-Markovian random walk processes with jumps and delaying scree...
Let Xt, r 2 0 be any continuous-time Markov process on states 0, 1,…, n where Xo = n and to is the t...
A discrete time queueing model with Markovian arrival process in which jobs require primary and poss...
For discrete-time stochastic processes, there is a close connection between return (resp. waiting) t...
A phase-type distribution is the distribution of a killing time in a finite-state Markov chain. This...
Abstract- We present a Markov model to analyze the queue-ing behavior of the nonstationary G(t)/G(t)...
We develop an Onsager-Machlup-type theory for nonequilibrium semi-Markov processes. Our main result ...
For discrete-time stochastic processes, there is a close connection between return (resp. waiting) t...
We present a theory for the design and analysis of concurrent/distributed systems with real-time a...
AbstractIn this paper we introduce the calculus of interactive generalized semi-Markov processes (IG...
A semi‐Markov process is a generalization of continuous‐time Markov chain, so that the sojourn times...
This title considers the special of random processes known as semi-Markov processes. These possess t...
[[abstract]]In this thesis we mainly aim to compute the expected waiting time of a certain pattern i...
Abstract. We study long run average behavior of generalized semi-Markov pro-cesses with both fixed-d...
Abstract A semi-Markov process is one that changes states in accordance with a Markov chain but take...
In this paper, we investigate the semi-Markovian random walk processes with jumps and delaying scree...
Let Xt, r 2 0 be any continuous-time Markov process on states 0, 1,…, n where Xo = n and to is the t...
A discrete time queueing model with Markovian arrival process in which jobs require primary and poss...
For discrete-time stochastic processes, there is a close connection between return (resp. waiting) t...
A phase-type distribution is the distribution of a killing time in a finite-state Markov chain. This...
Abstract- We present a Markov model to analyze the queue-ing behavior of the nonstationary G(t)/G(t)...
We develop an Onsager-Machlup-type theory for nonequilibrium semi-Markov processes. Our main result ...
For discrete-time stochastic processes, there is a close connection between return (resp. waiting) t...
We present a theory for the design and analysis of concurrent/distributed systems with real-time a...
AbstractIn this paper we introduce the calculus of interactive generalized semi-Markov processes (IG...