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Article #648Re: Gibbs sampling and annealing (was: Help! Book recommendations?)
From: Charles Geyer
Date: Tue, 06 Oct 1992 22:52
Date: Tue, 06 Oct 1992 22:52
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In article <1992Oct5.225003.11916@news2.cis.umn.edu> I wrote: [Annealing] doesn't help much. All it attempts to do is produce one realization that is "almost" from the stationary distribution to use as the start of the run. But if the chain mixes very slowly, the average will be near the starting point, but not near the expectation one wants to calculate. On the other hand, if the chain mixes rapidly, the "annealing" isn't needed. In article <92Oct6.115856edt.512@neuron.ai.toronto.edu> radford@cs.toronto.edu (Radford Neal) writes: > Not necessarily. It could be that the chain mixes rapidly once it has > reached the right general region, but that without annealing it takes > a long time to reach that region from whereever it was started. Possible, in which case I'll concede that annealing to find starting points is a good idea. -- Charles Geyer School of Statistics University of Minnesota charlie@umnstat.stat.umn.edu
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Newsgroups: sci.math.stat,sci.math.num-analysis Path: arc1-ca.pugleaf.net!sparky!uunet!think.com!sdd.hp.com!spool.mu.edu!umn.edu!charlie From: charlie@umnstat.stat.umn.edu (Charles Geyer) Subject: Re: Gibbs sampling and annealing (was: Help! Book recommendations?) Message-ID: <1992Oct6.225231.25621@news2.cis.umn.edu> Sender: news@news2.cis.umn.edu (Usenet News Administration) Nntp-Posting-Host: isles.stat.umn.edu Organization: School of Statistics, University of Minnesota References: <92Oct5.123636edt.472@neuron.ai.toronto.edu> <1992Oct5.225003.11916@news2.cis.umn.edu> <92Oct6.115856edt.512@neuron.ai.toronto.edu> Date: Tue, 6 Oct 1992 22:52:31 GMT Lines: 27