关联关系比因果关系重要，科学甚至能在没有一致模型、统一理论，甚至完全不需要任何解释的情况下进步。
Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all.
情境模型理论认为人们在理解信息的过程中至少需要建构5个维度，即：（1）空间，（2）时间，（3）实体，（4）因果，（5）目的等。
The theory of SM believes that the representation of SM concerns at least five dimensions, such as (1) space, (2) time, (3) entity, (4) causality and (5) intention.
包括单整、协整理论、误差修正模型以及Grange因果检验。
There are some which are commonly used: co-integration theory, error correction model and Grange causality test.
第三章运用协整理论，误差修正模型及格兰杰因果关系检验对定性分析结论进行了实证定量分析检验。
Chaper three has tested the qualitative conclusion quantitatively by the Cointegration Theory, Error Correction Model and Granger Causality test.
还将这种方法与缠结理论做了比较；要描述圈量子引力的动力学过程，需要新的模型，自旋接网圈的因果演化模型就是其中的一种。
A new model such as the causal evolution model of spin networks is needed to describe a dynamics process of loop quantum gravity.
该文通过详细介绍情境模型建构的空间、时间、因果、主人公、意图五大维度，以助于对情境模型理论整体理解。
This article made a complicated introduction of five dimensions space, time, causation, protagonist and intention in order to be helpful for the whole understanding of the theory.
简单因果归纳的多数理论模型强调自下而上的材料驱动的加工，这些模型又存在联想解释与计算解释的基本区分。
Within the paradigm of bottom-up data-driven processing, there are the basic differences between associative accounts and computational accounts.
简单因果归纳的多数理论模型强调自下而上的材料驱动的加工，这些模型又存在联想解释与计算解释的基本区分。
Within the paradigm of bottom-up data-driven processing, there are the basic differences between associative accounts and computational accounts.
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