On the maximum entropy principle for a class of stochastic processes

Benedikt Horsthemke and Markus Rüttermann

Stochastic Processes and their Applications, 1995, vol. 56, issue 1, 117-132

Abstract: This paper extends results of Bolthausen and Schmock on the asymptotical behaviour of certain Laplace-type transformations of Markov chains in two aspects: First we consider transformations of a more general class of processes which satisfy an Orey-type fading condition and secondly we study transformations on process level.

Keywords: 60F10 60F05 60K35 Maximum entropy principle; Large deviations Laplace's method Conditional limit theorem Empirical process Conditional expectation Weak convergence Fading condition (search for similar items in EconPapers)
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(94)00060-7
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:56:y:1995:i:1:p:117-132

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 ().