RJObject: Reversible Jump Objects

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Ada Coda
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RJObject: Reversible Jump Objects

Post by Ada Coda » Sat Apr 24, 2021 10:40 pm

RJObject: Reversible Jump Objects

Abstract: RJObject provides a general approach to trans-dimensional Bayesian inference problems, using trans-dimensional MCMC embedded within a Nested Sampling algorithm. This allows exploration of the posterior distribution and calculattion of the marginal likelihood (summed over N) even if the problem contains a phase transition or other difficult features such as multimodality.

Credit: Brewer, Brendon J.

Site: https://github.com/eggplantbren/RJObject
https://ui.adsabs.harvard.edu/abs/2018ApJ...854..141D

Bibcode: 2021ascl.soft04006B

ID: ascl:2104.006

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