PYLFIRE: Python implementation of likelihood-free inference by ratio estimation [version 1; peer review: 2 approved]
Likelihood-free inference for simulator-based models is an emerging methodological branch of statistics which has attracted considerable attention in applications across diverse fields such as population genetics, astronomy and economics. Recently, the power of statistical classifiers has been harne...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wellcome
2019-12-01
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| Series: | Wellcome Open Research |
| Online Access: | https://wellcomeopenresearch.org/articles/4-197/v1 |