On the transition from a Markov chain to a continuous time process
Anders Grimvall
Stochastic Processes and their Applications, 1973, vol. 1, issue 4, 335-368
Abstract:
Starting from a real-valued Markov chain X0,X1,...,Xn with stationary transition probabilities, a random element {Y(t);t[set membership, variant][0, 1]} of the function space D[0, 1] is constructed by letting Y(k/n)=Xk, k= 0,1,...,n, and assuming Y (t) constant in between. Sample tightness criteria for sequences {Y(t);t[set membership, variant][0,1]};n of such random elements in D[0, 1] are then given in terms of the one-step transition probabilities of the underlying Markov chains. Applications are made to Galton-Watson branching processes.
Keywords: measures; on; function; spaces; Markov; chains; tightness; branching; process (search for similar items in EconPapers)
Date: 1973
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(73)90016-1
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:1:y:1973:i:4:p:335-368
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().