On meeting and merging of stochastic flow of non-homogeneous Markov and semi-Markov dynamics

YADAV, RAVISHANKAR KAPILDEV; GOSWAMI, ANINDYA; Sahab, Subhamay

dc.contributor.author	GOSWAMI, ANINDYA	en_US
dc.contributor.author	Sahab, Subhamay	en_US
dc.contributor.author	YADAV, RAVISHANKAR KAPILDEV	en_US
dc.date.accessioned	2024-03-28T11:43:05Z
dc.date.available	2024-03-28T11:43:05Z
dc.date.issued	2024-03	en_US
dc.identifier.citation	Stochastic Models	en_US
dc.identifier.issn	1532-6349	en_US
dc.identifier.issn	1532-4214	en_US
dc.identifier.uri	https://doi.org/10.1080/15326349.2024.2328301	en_US
dc.identifier.uri	http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8595
dc.description.abstract	We consider a general class of semi-Markov processes on countable state-space, with a differentiable kernel such that the embedded Markov chain may not be homogeneous. Using an SDE representation of the process, we study the associated flow by investigating meetings and merging related events for solutions, starting with different initial conditions. Some sufficient conditions for almost sure meeting and merging are also obtained. Many examples are considered to clarify the intricacies and implications of this study.	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor & Francis	en_US
dc.subject	Meeting in next transition	en_US
dc.subject	Merging probability	en_US
dc.subject	Non-homogeneous emi-Markov rocesses	en_US
dc.subject	Poisson random measure	en_US
dc.subject	Stochastic flow	en_US
dc.subject	2024-MAR-WEEK3	en_US
dc.subject	TOC-MAR-2024	en_US
dc.title	On meeting and merging of stochastic flow of non-homogeneous Markov and semi-Markov dynamics	en_US
dc.type	Article	en_US
dc.contributor.department	Dept. of Mathematics	en_US
dc.identifier.sourcetitle	Stochastic Models	en_US
dc.publication.originofpublisher	Foreign	en_US