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lmoffatt / macro_dr

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define which algorithms for dynamic temperature selection to implement #217

Closed lmoffatt closed 3 months ago

lmoffatt commented 4 months ago

there are three dimensions:

  1. which is the parameter to equalize. Candidates are: acceptance, standard error of evidence, incremental beta-L product of first and second order.

  2. which controlling parameter to optimize: candidates are beta and s.

  3. which approximation of the variance of the logL to use: either the actual variance, the average of differences quotients or the average of both.

lmoffatt commented 3 months ago

I implemented all of them