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Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)

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Inverse binomial sampling (IBS)

IBS is a technique to obtain unbiased, efficient estimates of the log-likelihood of a model by simulation.

>>> The official repository for IBS has moved to my lab's GitHub page: https://github.com/acerbilab/ibs

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Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)

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