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Importance Sampling

Posted: February 18 2016
by Katharina Borm
Hi,

I am facing a question when running the importance sampling within CosmoMC. I would like to compute the new likelihood at all pre-sampled chain steps. How do I need to define the "redo_indep" parameter in this case? Or do I need to change something else as well?

From other CosmoCoffee comments, it sounded as if this was possible, but the best I can achieve is using only every tenth step...


cheers and many thanks in advance,
Katharina

Re: Importance Sampling

Posted: February 18 2016
by Antony Lewis
If you are using stored .data files, the initial run needs to be done with indep_sample=1 to store everything for importance sampling.

You can also importance sample from text chain files (recomputing everything as needed), using redo_from_text=T. However the main advantage of importance sampling is that either you can thin (which loses little information) or you don't have to recompute things.