生物科学的近似贝叶斯计算

Biostatistics and biometrics open access journal Pub Date : 2018-07-09 DOI:10.19080/BBOAJ.2018.07.555715

Ritabrata Dutta

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摘要

近似贝叶斯计算（ABC）为我们提供了一种严格的工具，可以在没有易于访问的似然函数的情况下对模型进行参数推断。在这里，我们简要介绍ABC，重点介绍它在生物科学中的应用。此外，我们向用户介绍了一个实现ABC算法的Python套件，该套件可优化使用高性能计算设施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Approximate Bayesian Computation for Biological Science

Approximate Bayesian computation (ABC) provides us a rigorous tool to perform parameter inference for models without an easily accessible likelihood function. Here we give a short introduction to ABC, focusing on applications in biological science. Furthermore, we introduce users to a Python suite implementing ABC algorithms, with optimal use of high performance computing facilities.

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Biostatistics and biometrics open access journal

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