David Fleming

For the 1.0 release, approxposterior should use packages like flake8 or black to make sure I'm following all relevant PEPs and such. Furthermore, I can use these packages similar to...

Add MultiNest for posterior retreival

1

I should implement MultiNest (specifically [PyMultiNest](https://github.com/JohannesBuchner/PyMultiNest)) as nested sampling typically converges more quickly than MCMC and can handle multi-modal posterior distributions, whereas MCMC cannot. It should be pretty straight-forward given...

As per the [Python 3.8 release notes](https://www.python.org/downloads/release/python-380/): > multiprocessing can now use shared memory segments to avoid pickling costs between processes This new change can enable parallel approxposterior in terms...

Checking GP predictive accuracy on-the-fly

2

One way to check the accuracy of the GP's predictions is by, for each of the m new points in parameter space identified by the GP, compute the GP's predictions...