Phase Randomization: A Convergence Diagnostic Test for MCMC

Nur, Darfiana, , & (2005) Phase Randomization: A Convergence Diagnostic Test for MCMC. Australian and New Zealand Journal of Statistics, 47(3), pp. 309-323.

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Description

Most MCMC users address the convergence problem by applying diagnostic tools to the output produced by running their samplers. Potentially useful diagnostics may be borrowed from diverse areas such as time series. One such method is phase randomisation. The aim of this paper is to describe this method in the context of MCMC, summarise its characteristics, and contrast its performance with those of the more common diagnostic tests for MCMC. It is observed that the new tool contributes information about third and higher order cumulant behaviour which is important in characterising certain forms of nonlinearity and nonstationarity.

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1 citations in Web of Science®
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ID Code: 5932
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Mengersen, Kerrieorcid.org/0000-0001-8625-9168
Measurements or Duration: 15 pages
Keywords: Convergance Diagnostics, Higher Cumulants, Markov Chain Monte Carlo, Nonlinear Time Series, Stationarity, Surrogate Series
DOI: 10.1111/j.1467-842X.2005.00396.x
ISSN: 1369-1473
Pure ID: 34302570
Divisions: Past > QUT Faculties & Divisions > QUT Business School
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Schools > School of Economics & Finance
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 05 Jan 2007 00:00
Last Modified: 03 Mar 2024 06:47