贝叶斯信息准则 (BIC) 和 Akaike 信息准则 (AIC) 是否适用于确定机制模型的最佳拟合度和简化度？

IF 0.7 2区哲学 Q2 HISTORY & PHILOSOPHY OF SCIENCE

International Studies in the Philosophy of Science Pub Date : 2024-02-23 DOI:10.1080/02698595.2024.2304487

Jens Harbecke, Jonas Grunau, Philip Samanek

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引用次数: 0

摘要

在过去的三十年里，关于科学建模和解释的机械方法的讨论明显地回避了模型过程中的简洁性和契合性这一主题。

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Are the Bayesian Information Criterion (BIC) and the Akaike Information Criterion (AIC) Applicable in Determining the Optimal Fit and Simplicity of Mechanistic Models?

Over the past three decades, the discourse on the mechanistic approach to scientific modelling and explanation has notably sidestepped the topic of simplicity and fit within the process of model se...

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来源期刊

International Studies in the Philosophy of Science HISTORY & PHILOSOPHY OF SCIENCE-

自引率

12.50%

发文量

期刊介绍： International Studies in the Philosophy of Science is a scholarly journal dedicated to publishing original research in philosophy of science and in philosophically informed history and sociology of science. Its scope includes the foundations and methodology of the natural, social, and human sciences, philosophical implications of particular scientific theories, and broader philosophical reflection on science. The editors invite contributions not only from philosophers, historians, and sociologists of science, but also from researchers in the sciences. The journal publishes articles from a wide variety of countries and philosophical traditions.