V-Subgeometric ergodicity for a Hastings-Metropolis algorithm
Gersende Fort and
Eric Moulines
Statistics & Probability Letters, 2000, vol. 49, issue 4, 401-410
Abstract:
We study the symmetric random-walk Hastings-Metropolis algorithm in situations where the density is not log-concave in the tails. We show that, under mild technical conditions this algorithm is V-ergodic at a subgeometrical rate.
Keywords: Hastings-Metropolis; algorithm; V-ergodicity; Drift; conditions; Subgeometrical; rates (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00074-2
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:49:y:2000:i:4:p:401-410
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
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 ().