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相关概念视频

Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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相关实验视频

Updated: Jul 19, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

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如何理解全球高粮食价格? 使用SHAP来解释机器学习算法.

Xiao Han1, Tong Yuan1, Donghui Wang1

  • 1Agricultural Trade Promotion Center, Ministry of Agriculture and Rural Affairs of P.R. China, Beijing, P.R. China.

PloS one
|August 16, 2023
PubMed
概括

全球粮食价格因美元供应增加和石油价格上而升. 量化宽松政策和俄罗斯-乌克兰冲突对粮食安全和农业供应链产生重大影响.

科学领域:

  • 经济学 经济学 经济学
  • 农业经济学 农业经济学
  • 国际金融 国际金融

背景情况:

  • 全球粮食价格达到了前所未有的高点,有关导致因素的争论仍在进行中.
  • 这项研究解决了关于最近全球粮食价格通胀的驱动因素的学术共识的缺乏.

研究的目的:

  • 确定2000年1月至2022年5月间全球粮食价格升的根本原因.
  • 分析对全球粮食安全的影响.
  • 研究货币政策和地缘政治事件对食品价格的影响.

主要方法:

  • 利用理论分析和机器学习模型.
  • 从2000年1月到2022年5月的雇佣月度数据.
  • 研究了包括美元供应,石油价格和地缘政治因素在内的关键变量.

主要成果:

  • 增加美元供应和油价上,特别是在大流行期间,被确定为食品价格上的最重要驱动因素.
  • 美元量化宽松成为主要因素,石油价格和美元流动性的交替影响.
  • 由于全球粮食短缺,粮食生产减少和需求增长预期加剧了价格上.
  • 俄罗斯-乌克兰冲突严重破坏了农业供应链,原油和肥料成为主要的价格驱动因素.

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相关实验视频

Last Updated: Jul 19, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

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结论:

  • 美元流动性和石油价格冲击是全球粮食价格的关键决定因素.
  • 地缘政治不稳定,以俄罗斯-乌克兰冲突为例,对农业供应链和粮食安全构成重大风险.
  • 未来的食品价格趋势将受到供应链漏洞和需求动态的影响.