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How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used

Yuzhi Cai Orcid Logo

Markov Process and Controlled Markov Chains

Swansea University Author: Yuzhi Cai Orcid Logo

Abstract

In this paper we describe recent empirical work using perfect simulation toinvestigate how rates of convergence for Gibbs fields might depend onthe interaction between sites andthe kind of scanning used. We also give some experiment results onKendall's (1998) perfect simulation method for area-...

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Published in: Markov Process and Controlled Markov Chains
Published: 2002
URI: https://cronfa.swan.ac.uk/Record/cronfa15301
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last_indexed 2018-02-09T04:47:09Z
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spelling 2013-12-04T13:27:38.0157827 v2 15301 2013-07-30 How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used eff7b8626ab4cc6428eef52516fda7d6 0000-0003-3509-9787 Yuzhi Cai Yuzhi Cai true false 2013-07-30 BAF In this paper we describe recent empirical work using perfect simulation toinvestigate how rates of convergence for Gibbs fields might depend onthe interaction between sites andthe kind of scanning used. We also give some experiment results onKendall's (1998) perfect simulation method for area-interactionprocess, which show that the repulsive case could be quicker orslower than the attractive case for different choices ofthe parameters. Book chapter Markov Process and Controlled Markov Chains 498 McMC, Gibbs sampler, Perfect simulation, coalescence time, attractive, repulsive, area-interaction 30 6 2002 2002-06-30 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2013-12-04T13:27:38.0157827 2013-07-30T11:25:33.2350471 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Yuzhi Cai 0000-0003-3509-9787 1
title How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
spellingShingle How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
Yuzhi Cai
title_short How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
title_full How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
title_fullStr How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
title_full_unstemmed How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
title_sort How rates of convergence for gibbs fields depend on the interaction and the kind of scanning used
author_id_str_mv eff7b8626ab4cc6428eef52516fda7d6
author_id_fullname_str_mv eff7b8626ab4cc6428eef52516fda7d6_***_Yuzhi Cai
author Yuzhi Cai
author2 Yuzhi Cai
format Book chapter
container_title Markov Process and Controlled Markov Chains
publishDate 2002
institution Swansea University
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
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description In this paper we describe recent empirical work using perfect simulation toinvestigate how rates of convergence for Gibbs fields might depend onthe interaction between sites andthe kind of scanning used. We also give some experiment results onKendall's (1998) perfect simulation method for area-interactionprocess, which show that the repulsive case could be quicker orslower than the attractive case for different choices ofthe parameters.
published_date 2002-06-30T03:17:26Z
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score 11.013148

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