Category Archives: Computing

More efficient than Nested Sampling!

This paper nicely illustrates a genre I’ve seen a few times before. Pick a problem where there’s some symmetry or feature you can exploit to speed up the calculation, do so, and then compare it to Nested Sampling which doesn’t assume … Continue reading

Posted in Computing, Inference | Leave a comment

LBRY whitepaper released

https://lbry.io/news/lbrytech  

Posted in Computing | Leave a comment

New favourite software

I’ve been into “alternative” computer software since I started using Linux as my main operating system in about 2005. The main reason has been convenience, as I got in the habit of developing on Linux and it would be hard … Continue reading

Posted in Computing | Leave a comment

R-based model specification for DNest4

Last night, I decided to bite the bullet and add yet another method to implement models in DNest4, this time using R. Statisticians know R, so it’s probably a good idea to support their language in some form. This brings … Continue reading

Posted in Computing, Inference | 2 Comments

Types and Jaynes’s ‘Mind Projection Fallacy’

Ed Jaynes frequently criticised what he called the mind projection fallacy. This is the implicit assumption that our concepts of, say, gaussianity, randomness, and so on, reflect properties of to be found “out there in nature”, whereas they often reside … Continue reading

Posted in Computing, Inference, Mathematics | 1 Comment

Some software I’ve been working on

Hi everyone. I’ve recently been expanding my computational horizons and it has helped me to put some of my trans-dimensional Bayesian inference codes for astronomy into a more usable state for others, with configuration files in YAML, nonzero documentation (though … Continue reading

Posted in Computing, Inference | Leave a comment

DNest4 version 0.2.0

G’day everyone. This post is to update you on some work I’ve been doing (along with some collaborators, notably João Faria) on DNest4. So, you’ll likely only care if you’re a user of that package. There have been enough additions … Continue reading

Posted in Computing, Inference | 2 Comments