What is the translation of " 因果推理 " in English?

• causal reasoning
• causal inference

Examples of using 因果推理 in Chinese and their translations into English

这些结果表明儿童的因果推理解决问题能力的力量。
These findings show the power of children's causal reasoning abilities for solving problems.

Pearl认为，因果推理可以使机器具有人类水平的智能。
Pearl expects that causal reasoning could provide machines with human-level intelligence.

珀尔预期，因果推理可以为机器提供相当于人类水平的智力。
Pearl expects that causal reasoning could provide machines with human-level intelligence.

为'目标因果推理分析框架.
The‘ Causal Reasoning Analytical Framework for Target.

Pearl认为，因果推理可以使机器拥有人类水平的智力。
Pearl expects that causal reasoning could provide machines with human-level intelligence.

Pearl期望因果推理能为机器提供人类水平的智能。
Pearl expects that causal reasoning could provide machines with human-level intelligence.

Pearl期望因果推理可以为机器提供人类水平的智能。
Pearl expects that causal reasoning could provide machines with human-level intelligence.

这两种结构之间的区别对因果推理有着重要的影响。
The distinction between these two structures has important consequences for causal reasoning.

另一方面，丰富的因果推理理论似乎可以为传统的机器学习方法提供很多补充。
On the other hand, the rich theory of causal reasoning does indeed seem to have much to complement traditional approaches to machine learning.

对因果推理的简明和自成体系的介绍，在数据科学和机器学习中越来越重要。
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.

Pearl并没有深入研究SCM的运作细节，而是列举了SCM框架提供的七种因果推理工具。
Rather than dive deeper into the details of how SCM works, Pearl instead enumerates seven tools of causal reasoning enabled by the SCM framework.

天气数据分析中的一个很大的挑战性问题是涉及到因果推理：我们是否可以识别异常事件并将它们和一些机制建立因果关系?
A grand challenge problem in climate data analytics involves causal inference: can we identify anomalous events and causally connect them to mechanisms?

中心议题包括线性回归，因果推理，识别策略，以及经常使用的由业内专业人士的时间序列模型宽范围。
Central topics include linear regression, causal inference, identification strategies, and a wide-range of time series models that are frequently used by industry professionals.

我想再次强调，这不是一个讨论用深度学习还是因果推理的问题。
I wanted to emphasize again that this is not a question of whether you work on deep learning or causal inference.

读完这篇文章后，我决定再研究一下他著名的do-calculus和因果推理。
After reading the article, I decided to look into his famous do-calculus and the topic causal inference once again.”.

治疗效果估计作为因果推理中的一个基本问题，在统计学上已被广泛研究了几十年。
Treatment effect estimation, as a fundamental problem in causal inference, has been extensively studied in statistics for decades.

我们的许多错误表明因果推理这种实践方法……仍然是一种艺术。
Our many errors show that the practice of causal inference… remains an art.

中心议题包括线性回归，因果推理，识别策略，以及经常使用的由业内专业人士的时间序列模型宽范围。
Major topics include classical linear regression modeling, casual inference, identification strategies, and a class of time series models that are popular among industry professionals.

如果我们有这些数据并且用它们做常规的统计机器学习，不做因果推理，我们可能会尝试估计p.
If we have this data and do normal statistical machine learning, without causal reasoning, we would probably attempt to estimate$p.

PS政治科学杂志举办了关于大数据，因果推理和形式理论的研讨会，ClarkandGolder(2015)总结了每一个贡献。
The journal P.S. Political Science had a symposium on big data, causal inference, and formal theory, and Clark and Golder(2015) summarize each contribution.

证词自信度和自主探索综合影响5岁儿童的因果推理.
The influence of testimony's confidence and exploration on 5-year-old children's causal inference.

因为我们永远不会得到一个完美的现实因果推理模型；.
We don't have a perfect causal model of the reality;

但愿你们现在了解了足够多的关于因果推理的东西，知道p.
You hopefully know enough about causal inference by now to know that$p.

马格达莱纳·贝内特在开展有关教育和因果推理方法的经济性不同主题的定量研究。
Magdalena Bennett conducts quantitative research in diverse topics regarding the economics of education and causal inference methodologies.

这一次，我想我完全领会了因果推理的意义，而且变成了一个十足的信徒。
This time around, I think I fully grasped the significance of causal reasoning and I turned into a full-on believer.

这些结果表明，学龄前儿童使用以前的意见和他们的因果推理技能来解决如何关闭设备的问题。
These results suggest that preschool children use previous observations and their causal reasoning skills to solve the problem of how to turn off the device.

但是在几种非常重要的应用情况中，因果推理提供了以原则性方式解决问题的唯一方法。
But there are several situations, and very important applications, where causal inference offers the only method to solve the problem in a principled way.

但愿你们现在了解了足够多的关于因果推理的东西，知道p(:mortar_board:|=0)不是我们要寻求的量。
You hopefully know enough about causal inference by now to know that$p.

洪博士发展了用于在多层次、纵向研究设计中评估教育和社会政策及方案的因果推理理论和方法。
Dr. Hong develops and applies causal inference theories and methods for evaluating educational and social policies and programs in multi-level, longitudinal settings.