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[ascl:1410.001] DIAMONDS: high-DImensional And multi-MOdal NesteD Sampling

DIAMONDS (high-DImensional And multi-MOdal NesteD Sampling) provides Bayesian parameter estimation and model comparison by means of the nested sampling Monte Carlo (NSMC) algorithm, an efficient and powerful method very suitable for high-dimensional and multi-modal problems; it can be used for any application involving Bayesian parameter estimation and/or model selection in general. Developed in C++11, DIAMONDS is structured in classes for flexibility and configurability. Any new model, likelihood and prior PDFs can be defined and implemented upon a basic template.

Code site:
https://fys.kuleuven.be/ster/Software/Diamonds/
Described in:
http://adsabs.harvard.edu/abs/2014A%26A...571A..71C
Bibcode:
2014ascl.soft10001C

Views: 3995

ascl:1410.001
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