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Found 2 papers, 2 papers with code
A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation
Evaluation of the strategy on different problems and numbers of parallel cores reveals speed-ups of typically 10-20% and up to 50% compared to the best established approach.
pyABC: Efficient and robust easy-to-use approximate Bayesian computation
The Python package pyABC provides a framework for approximate Bayesian computation (ABC), a likelihood-free parameter inference method popular in many research areas.
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