Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.1K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

411
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
411
Relative Risk01:12

Relative Risk

2.1K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.1K
What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

496
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
496
One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution01:09

One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

887
The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated...
887

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Challenges in data-driven geospatial modeling for environmental research and practice.

Nature communications·2024
Same author

Stress, diet, exercise: Common environmental factors and their impact on epigenetic age.

Ageing research reviews·2023
Same author

Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults.

Aging·2022
Same author

Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data.

Scientific reports·2022
Same author

Diverse patterns of antibody variable gene repertoire disruption in patients with amyloid light chain (AL) amyloidosis.

PloS one·2020
Same author

Supercontinuum generation by noise-like pulses transmitted through normally dispersive standard single-mode fibers.

Optics express·2013

相关实验视频

Updated: Feb 4, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K

核心平均值匹配在空间分布变化下提高了风险估计.

Egor Serov1, Diana Koldasbayeva2, Alexey Zaytsev1,3

  • 1Skolkovo Institute of Science and Technology, Moscow, Russia.

Scientific reports
|February 2, 2026
PubMed
概括

核心平均匹配 (KMM) 改进了空间数据中的机器学习风险估计,优于传统方法,如无权重 (NW) 和重要性权重 (IW). KMM提供了强大而准确的预测,对于面临分布转移的生态和医疗应用至关重要.

关键词:
分布转移的稳定性 分布转移的稳定性重新加权的重要性.核心平均值匹配的匹配空间建模 空间建模空间风险估计估计

更多相关视频

Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation
08:28

Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation

Published on: September 13, 2012

11.6K
Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation
09:28

Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation

Published on: August 7, 2010

13.2K

相关实验视频

Last Updated: Feb 4, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K
Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation
08:28

Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation

Published on: September 13, 2012

11.6K
Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation
09:28

Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation

Published on: August 7, 2010

13.2K

科学领域:

  • 空间统计的空间统计.
  • 机器学习 机器学习
  • 数据科学是数据科学.

背景情况:

  • 准确的风险估计对于在生态学和医学等空间应用中部署机器学习至关重要.
  • 传统的方法 (无权重,重要性权重) 由于密度估计的挑战和非静止性,与空间结构化数据作斗争.
  • 基于分类器的方法表现出有限的成功,经常错误校准风险估计.

研究的目的:

  • 系统地评估分布转移下的空间结构化数据的风险估计方法.
  • 确定一种强大的方法,以克服高维集群分布和非静止性的挑战.
  • 为了证明核心平均匹配 (KMM) 在空间风险估计中的有效性.

主要方法:

  • 评估了四种风险估计方法:没有权重 (NW),重要性权重 (IW),内核平均匹配 (KMM) 和基于分类器的重权重.
  • 使用合成基准与受控的空间聚类和现实世界的数据集 (物种分布,免疫细胞布局).
  • 专注于最大限度地减少使用KMM内核嵌入的分布差异.

主要成果:

  • 核心平均匹配 (KMM) 在各种空间数据集中表现出卓越的稳定性.
  • 与高维设置中的其他方法相比,KMM减少了12.3-86.5%的平均绝对百分比误差 (MAPE).
  • KMM有效地绕过了传统方法固有的密度比率估计问题.

结论:

  • 核心平均匹配 (KMM) 为空间风险估计提供了原则性和有效的解决方案,特别是在聚类或易受人工物影响的数据中.
  • 由于KMM直接最小化了分布差异,因此可以确保更可靠的风险估计.
  • 该方法在生态和生物医学领域的广泛适用性突显了其在异质环境中强大的模型部署潜力.