AbstractSeveral useful point processes such as the Markovian arrival process, the input and departure processes of finite-capacity Markovian queues, and various models for counters and biological phenomena are obtained by considering Markov chains with marked transitions. This point of view yields many examples of interesting dependent point processes and provides a unified formalism for their study. This paper presents some characterizations of Markov chains with marked transitions
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
Stochastic processes have many useful applications and are taught in several university programmes. ...
We are interested in the connection between a metastable continuous state space Markov process (sati...
AbstractSeveral useful point processes such as the Markovian arrival process, the input and departur...
Marked point processes (MPP\u27s) play an important role in stochastic modeling. A special class of ...
Application problems are investigated for the Markov chains with quasitoeplitz transition matrix. Ge...
Markov switching models are a family of models that introduces time variation in the parameters in t...
In this paper, we study a double-sided queueing model with marked Markovian arrival processes and fi...
We develop a theory of probabilistic continuous processes that is meant ultimately to be part of an ...
One result that is of both theoretical and practical importance regarding point processes is the met...
This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs), which cons...
This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs), which const...
Providing probabilistic analysis of queueing models can be difficult when the input distribu-tions a...
Markovian arrival process (MAP) is a popular tool for modeling arrival processes of stochastic syste...
An extension problem (often called a boundary problem) of Markov processes has been studied, particu...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
Stochastic processes have many useful applications and are taught in several university programmes. ...
We are interested in the connection between a metastable continuous state space Markov process (sati...
AbstractSeveral useful point processes such as the Markovian arrival process, the input and departur...
Marked point processes (MPP\u27s) play an important role in stochastic modeling. A special class of ...
Application problems are investigated for the Markov chains with quasitoeplitz transition matrix. Ge...
Markov switching models are a family of models that introduces time variation in the parameters in t...
In this paper, we study a double-sided queueing model with marked Markovian arrival processes and fi...
We develop a theory of probabilistic continuous processes that is meant ultimately to be part of an ...
One result that is of both theoretical and practical importance regarding point processes is the met...
This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs), which cons...
This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs), which const...
Providing probabilistic analysis of queueing models can be difficult when the input distribu-tions a...
Markovian arrival process (MAP) is a popular tool for modeling arrival processes of stochastic syste...
An extension problem (often called a boundary problem) of Markov processes has been studied, particu...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
Stochastic processes have many useful applications and are taught in several university programmes. ...
We are interested in the connection between a metastable continuous state space Markov process (sati...