Partially observed control of a Markov jump process with counting observations: equivalence with the separated problem
Claudia Ceci and
Anna Gerardi
Stochastic Processes and their Applications, 1998, vol. 78, issue 2, 245-260
Abstract:
This paper concerns a partially observable finite horizon control problem for -valued pure Markov jump process using the information given by the point process which counts the total number of jumps. Equivalence between the partially observable control problem and the separated control problem is discussed.
Keywords: Markov; jump; processes; Optimal; stochastic; control; Partial; observations; Filtering; History; sets; Martingale; problems (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(98)00054-4
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:78:y:1998:i:2:p:245-260
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 ().