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相关概念视频

Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Causality in Epidemiology01:21

Causality in Epidemiology

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Inductive Reasoning00:59

Inductive Reasoning

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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相关实验视频

Updated: Jul 1, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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一项关于推推因果推理的调查.

Huishi Luo1, Fuzhen Zhuang1,2, Ruobing Xie3

  • 1Institute of Artificial Intelligence, Beihang University, Beijing 100191, China.

Innovation (Cambridge (Mass.))
|March 1, 2024
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概括

这项调查系统地审查了推系统 (RS) 中的因果推断. 它提出了一个基于因果理论的新分类学,帮助研究人员理解和应用这些方法.

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 在推系统 (RS) 中,因果推理对于理解因果关系越来越重要.
  • 现有的调查经常根据实际问题对方法进行分类,使统一的因果理论碎片化.
  • RS研究人员需要对因果推理有一个连贯的,理论驱动的观点.

研究的目的:

  • 从因果理论的角度系统地审查RS的因果推理.
  • 提出一种新的分类法来对RS中现有的因果推理方法进行分类.
  • 为了促进在RS领域内更深入地整合因果推理.

主要方法:

  • 介绍了因果推理的基本概念.
  • 提出了理论驱动的分类学:潜在的结果框架,结构性因果模型和一般的反事实.
  • 审查了应用因果推理到RS问题的技术细节.

主要成果:

  • 提供了RS文献中因果推理的系统审查.
  • 将现有方法组织成一个基于潜在因果理论的新型分类学.
  • 确定因果推系统的关键挑战和未来研究方向.

结论:

  • 以理论为导向的方法对于推进RS的因果推理至关重要.
  • 拟议的分类学为不同的因果关系方法提供了一个统一的视角.
  • 需要进一步的研究,以充分利用因果推理来改进推者系统.