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相关概念视频

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements10:22

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This article presents a protocol and software tool for the quantification of uncertainties in the calibration and data analysis of a semi-continuous thermal-optical organic/elemental carbon...
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Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
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The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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The topic explores the practical aspects of adjusting steel reinforcements within a concrete beam section to meet specific design requirements. When designing a reinforced concrete beam, it is essential to distribute the steel reinforcements properly to ensure structural integrity and efficiency. The example provided details a scenario where a beam requires a total steel cross-section of 4 square inches. The engineer identifies that the available steel bars have a nominal diameter of 1.693...
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Updated: Jan 20, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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在线拍卖设计使用无分布式不确定性量化与电子商务应用.

Jiale Han1, Xiaowu Dai1,2

  • 1Department of Statistics and Data Science, University of California, Los Angeles, CA.

Journal of the American Statistical Association
|January 19, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了合规在线拍卖设计 (COAD),这是一种最大限度地提高在线拍卖收入的新方法. 在不需要已知的分布的情况下,COAD量化了投标者价值的不确定性,改进了传统方法.

关键词:
符合规范的预测.在线拍卖是在线拍卖收入最大化 收入最大化不确定性量化不确定性的量化.

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科学领域:

  • 电子商务和计算经济学
  • 机器学习和人工智能机器学习和人工智能
  • 机制设计和游戏理论.

背景情况:

  • 在线拍卖对电子商务至关重要,但由于未知的投标者价值和不确定的参与者数量,收入最大化面临挑战.
  • 现有的机制往往依赖于对已知的价值分布和固定参与者/项目集的不切实际假设.
  • 现实世界的在线拍卖需要灵活,强大的机制,有效地处理不确定性和未知分布.

研究的目的:

  • 引入合规在线拍卖设计 (COAD),这是一个用于最大限度地提高在线拍卖收入的新机制.
  • 解决传统拍卖设计的局限性,包括无发行不确定性量化.
  • 开发一种与激励相容的机制,利用投标者和项目特征来改善收入的产生.

主要方法:

  • 开发了合规在线拍卖设计 (COAD),一种新的收入最大化机制.
  • 使用无分配不确定性量化技术来估计投标者价值.
  • 集成机器学习模型 (随机森林,内核方法,深度神经网络) 具有投标者和项目特征.
  • 基于估值的较低置信限值实施的投标人特定储备价格.

主要成果:

  • COAD有效地量化了投标人价值的不确定性,而不假定已知的分布.
  • 该机制在现实世界的eBay拍卖数据上表现出了实际的有效性.
  • 理论结果和模拟验证了该方法的收入最大化特性和激励兼容性.
  • 在单一储备价格策略下,投标者特定的储备价格得到了改善.

结论:

  • 合规在线拍卖设计 (COAD) 为在线拍卖中的收入最大化提供了强大而有效的解决方案.
  • 该方法成功地整合了机器学习和不确定性量化,用于实际的电子商务应用.
  • 通过处理未知的分布和动态环境,COAD在传统的拍卖设计方法上取得了显著的进步.