.png){kind=icon}
返回
How to Validate a Bayesian Evolutionary Model
.png){kind=icon}
OA
AI
DOI：10.1093/sysbio/syae064.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Biology has become a highly mathematical discipline in which probabilistic models play a central role. As a result, research in the biological sciences is now dependent on computational tools capable of carrying out complex analyses. These tools must be validated before they can be used, but what is understood as validation varies widely among methodological contributions. This may be a consequence of the still embryonic stage of the literature on statistical software validation for computational biology. Our manuscript aims to advance this literature. Here, we describe, illustrate, and introduce new good practices for assessing the correctness of a model implementation with an emphasis on Bayesian methods. We also introduce a suite of functionalities for automating validation protocols. It is our hope that the guidelines presented here help sharpen the focus of discussions on (as well as elevate) expected standards of statistical software for biology.
Keyword:
Probabilistic model
Bayesian model
model validation
coverage
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.7
论文数:
2.2K
被引数:
1.9W
机构
引用论文
Plume entrainment effects in solar domestic hot water systems employing variable-flow-rate control strategies.png)
Solar Energy
Solar EnergyIF0
PREAI
分享收藏分享收藏分享收藏Impacts of Taxon-Sampling Schemes on Bayesian Tip Dating Under the Fossilized Birth-Death ProcessSYSTEMATIC BIOLOGYOAAI
SYSTEMATIC BIOLOGYIF5.7
OAAI分享收藏Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis通过扩散，局部灭绝和cladogenesis对地理范围演变的最大似然推断SYSTEMATIC BIOLOGY
OAAI
SYSTEMATIC BIOLOGYIF5.7
OAAI分享收藏
查看更多内容