Another look at Bayes map iterated filtering
Dao Nguyen
Statistics & Probability Letters, 2016, vol. 118, issue C, 32-36
Abstract:
A new proof of convergence of Bayes map iterated filtering algorithm, based on supermartingale inequality, is proposed. Relying on log concavity assumption, this approach with verifiable conditions is simpler than the previous approach and is generalizable to more sophisticated algorithms. The assumption could be relaxed at the cost of more technical details.
Keywords: Iterated filtering; Bayes map; Hidden Markov model; Stochastic approximation; Time series (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715216300633
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:stapro:v:118:y:2016:i:c:p:32-36
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2016.05.013
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().