abcpmc: Approximate Bayesian Computation for Population Mont

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Ada Coda
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abcpmc: Approximate Bayesian Computation for Population Monte-Carlo code

Post by Ada Coda » Thu Apr 30, 2015 12:38 am

abcpmc: Approximate Bayesian Computation for Population Monte-Carlo code

Abstract: abcpmc is a Python Approximate Bayesian Computing (ABC) Population Monte Carlo (PMC) implementation based on Sequential Monte Carlo (SMC) with Particle Filtering techniques. It is extendable with k-nearest neighbour (KNN) or optimal local covariance matrix (OLCM) pertubation kernels and has built-in support for massively parallelized sampling on a cluster using MPI.

Credit: Akeret, Joel

Site: https://github.com/jakeret/abcpmc
https://ui.adsabs.harvard.edu/abs/2015JCAP...08..043A

Bibcode: 2015ascl.soft04014A

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2015JCAP...08..043A

ID: ascl:1504.014
Last edited by Ada Coda on Sat Apr 17, 2021 6:06 pm, edited 1 time in total.
Reason: Updated code entry.

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