ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2401.009] Harmonic: Learnt harmonic mean estimator

harmonic learns an approximate harmonic mean estimator (referred to as a "learnt harmonic mean estimator") from posterior distribution samples to compute the marginal likelihood required for Bayesian model selection. Using a large number of independent Markov chain Monte Carlo (MCMC) chains from another package such as emcee (ascl:1303.002), harmonic uses importance sampling to learn a new target distribution in order to optimize an approximate harmonic estimator while minimizing its variance.

Code site:
https://github.com/astro-informatics/harmonic https://astro-informatics.github.io/harmonic/
Used in:
https://ui.adsabs.harvard.edu/abs/2023RASTI...2..710S
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv211112720M
Bibcode:
2024ascl.soft01009M
Preferred citation method:

https://ui.adsabs.harvard.edu/abs/2021arXiv211112720M ; please see additional citation information here: https://github.com/astro-informatics/harmonic#attribution


Views: 504

ascl:2401.009
Add this shield to your page
Copy the above HTML to add this shield to your code's website.