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DIAMONDS: high-DImensional And multi-MOdal NesteD Sampling

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Ada Coda
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Joined: Thu May 08, 2014 5:37 am

DIAMONDS: high-DImensional And multi-MOdal NesteD Sampling

Postby Ada Coda » Thu Oct 02, 2014 2:03 am

DIAMONDS: high-DImensional And multi-MOdal NesteD Sampling

Abstract: 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.

Credit: Corsaro, Enrico; De Ridder, Joris

Site: https://fys.kuleuven.be/ster/Software/Diamonds/
http://adsabs.harvard.edu/abs/2014A%26A...571A..71C

Bibcode: 2014ascl.soft10001C

ID: ascl:1410.001
Last edited by Ada Coda on Fri Apr 20, 2018 4:05 pm, edited 1 time in total.
Reason: Updated code entry.

Enrico Corsaro
Posts: 1
Joined: Tue Oct 07, 2014 3:31 pm

Re: DIAMONDS: high-DImensional And multi-MOdal NesteD Sampli

Postby Enrico Corsaro » Tue Oct 07, 2014 3:49 pm

Thanks for having reported this code!


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