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[ascl:1504.014] abcpmc: Approximate Bayesian Computation for Population Monte-Carlo code

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.

Code site:
https://github.com/jakeret/abcpmc
Described in:
https://ui.adsabs.harvard.edu/abs/2015JCAP...08..043A
Bibcode:
2015ascl.soft04014A

Views: 7536

ascl:1504.014
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