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Diffusive Nested Sampling

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Hey, I was just benchmarking DNest4 for some of my more memory intensive/complex models and I noticed, that the copy constructor and assigment operators were called quite often. This leads...

This might be useful as an easy way to fix a parameter. What do you think?

Hey, I was just running the gaussian.py example locally and I found log(Z) = -14.94080654452895 [exact log(Z) = -11.512928331486771] Is this discrepancy between the sampled and theoretical result expected? I've...

In #37 I opened an issue that the example gaussian.py does not produce a sampled log_Z which is close to the analytical log_Z. In order to further debug this, I...

Hi there, I noticed that when running DNest4 via the Python interface, all files *except* sampler_state.txt are properly saved into the `basedir` set when initializing the backend. For consistency with...

Hi, I wanted to show a small demo of Diffusive Nested Sampling in comparison to other techniques. I set up two gaussian shells which work as a spike-slab model in...

In Appendix A of the code paper, you mention you can change the level compression ratio with the "-c" option. My question is does, something corresponding need to change when...

Hi Brendon, After having successfully built an RJObject model for modelling the radial velocities (using the model from gp_quasiperiodic_branch of eggplantbren/Exoplanet as a template adapted to run with DNest4), I...

Hi! When running the Gaussian python example from commit 190180.. on a Mac (OSX10.10) with Python 2.7, it runs into NaNs for log_x_diff, and thus log_z when calculated by analysis.py's...

Hey folks-- Just tried to run the gaussian python example, and for everything past sample 60, log(Z) = nan. ``` # Timothys-MacBook-Pro:gaussian tdm$ python gaussian.py # Seeding random number generators....

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