Research

Tuning tempered transitions


Reference:

Behrens, G., Friel, N. and Hurn, M., 2012. Tuning tempered transitions. Statistics and Computing, 22 (1), pp. 65-78.

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    Official URL:

    http://dx.doi.org/10.1007/s11222-010-9206-z

    Abstract

    Abstract: The method of tempered transitions was proposed by Neal (Stat. Comput. 6:353–366, 1996) for tackling the difficulties arising when using Markov chain Monte Carlo to sample from multimodal distributions. In common with methods such as simulated tempering and Metropoliscoupled MCMC, the key idea is to utilise a series of successively easier to sample distributions to improve movement around the state space. Tempered transitions does this by incorporating moves through these less modal distributions into the MCMC proposals. Unfortunately the improved movement between modes comes at a high computational cost with a low acceptance rate of expensive proposals. We consider how the algorithm may be tuned to increase the acceptance rates for a given number of temperatures. We find that the commonly assumed geometric spacing of temperatures is reasonable in many but not all applications.

    Details

    Item Type Articles
    CreatorsBehrens, G., Friel, N. and Hurn, M.
    DOI10.1007/s11222-010-9206-z
    DepartmentsFaculty of Science > Mathematical Sciences
    Publisher StatementHurn_Stat-Comp_2012_22_1_65.pdf: The original publication is available at www.springerlink.com
    RefereedYes
    StatusPublished
    ID Code26102

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