Explaining Adaptive Radial-Based Direction Sampling
Luc Bauwens,
Charles Bos,
Herman van Dijk and
Rutger van Oest
No EI 2003-37, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute
Abstract:
In this short paper we summarize the computational steps of Adaptive Radial-Based Direction Sampling (ARDS), which can be used for Bayesian analysis of ill behaved target densities. We consider one simulation experiment in order to illustrate the good performance of ARDS relative to the independence chain MH algorithm and importance sampling.
Keywords: Markov Chain Monte Carlo; importance sampling; radial coordinates (search for similar items in EconPapers)
Date: 2003-08-07
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://repub.eur.nl/pub/1045/ei200337.pdf (application/pdf)
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:ems:eureir:1045
Access Statistics for this paper
More papers in Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute Contact information at EDIRC.
Bibliographic data for series maintained by RePub ( this e-mail address is bad, please contact ).