Evaluation and comparison of computational models.
Evaluation and comparison of computational models.
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DOI：
10.1016/s0076-6879(08)03811-1
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发表时间：
2009
影响因子：
--
通讯作者：
Pitt, Mark A.
中科院分区：
文献类型：
--
作者：
Myung, Jay I.;Tang, Yun;Pitt, Mark A.
计算模型是增强对科学现象理解的有力工具。当一个模型的充分性，以及它可能优于其他模型的原因被理解时，建模的事业是最富有成效的。本章首先概述了在模型评估和选择中必须考虑的主要标准，特别是解释了为什么普遍性是模型选择的首选标准。其次是审查措施的普遍性。最后一节演示了使用五种通用且易于使用的选择方法在两种蛋白质折叠数学模型之间进行选择。
Computational models are powerful tools that can enhance the understanding of scientific phenomena. The enterprise of modeling is most productive when the reasons underlying the adequacy of a model, and possibly its superiority to other models, are understood. This chapter begins with an overview of the main criteria that must be considered in model evaluation and selection, in particular explaining why generalizability is the preferred criterion for model selection. This is followed by a review of measures of generalizability. The final section demonstrates the use of five versatile and easy-to-use selection methods for choosing between two mathematical models of protein folding.