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相关概念视频

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

570
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
570
Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Probability in Statistics01:14

Probability in Statistics

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Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Probability Laws01:49

Probability Laws

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Overview
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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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相关实验视频

Updated: May 13, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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概率理查德森推理推理可能的理查德森推理.

Chris J Oates1, Toni Karvonen2,3, Aretha L Teckentrup4

  • 1School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK.

Journal of the Royal Statistical Society. Series B, Statistical methodology
|April 14, 2025
PubMed
概括
此摘要是机器生成的。

高斯-理查德森推断 (GRE) 提供了一种概率方法来改进数值方法. 这种方法处理复杂的计算机代码和不确定的融合顺序,实现了显著的加速度和精度增长.

关键词:
贝叶斯统计学 贝叶斯统计学斯过程是高斯过程.多忠实度建模的多忠实度建模繁殖的核可以繁殖.不确定性量化不确定性量化

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科学领域:

  • 数字分析 数字分析
  • 计算科学 计算科学
  • 应用数学 应用数学 应用数学

背景情况:

  • 外加推算方法增强了数值方法的收顺序.
  • 传统方法与现代复杂的计算机代码和不确定的趋同作斗争.
  • 多忠实度建模在分析趋同订单时提出了挑战.

研究的目的:

  • 介绍理查森推断的概率观点.
  • 统一经典推断与多忠度建模.
  • 开发一种方法来统计处理不确定的趋同订单.

主要方法:

  • 使用高斯过程开发了高斯-理查德森推断 (GRE).
  • 对于多项式或指数式加速度的确定的条件.
  • 制定实验设计作为一个连续优化问题.

主要成果:

  • 高斯-理查德森推断 (GRE) 提供了一个概率框架.
  • GRE通过统计估计不确定的趋同订单.
  • 在计算心脏模型中证明了实际的准确性增长.

结论:

  • GRE将古典推断与多忠度建模统一起来.
  • 概率方法使得统计估计的趋同订单.
  • 在复杂的模拟中,GRE提供了一个强大的工具来增强数字方法.