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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

130
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
130
Poisson Probability Distribution01:09

Poisson Probability Distribution

8.5K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
8.5K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.3K
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...
4.3K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

726
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
726
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

624
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
624
Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

3.5K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
3.5K

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

The effects of severe sleep deprivation and subsequent recovery sleep on anxiety.

Military psychology : the official journal of the Division of Military Psychology, American Psychological Association·2026
Same author

A Systematic Review of Turmeric/Curcumin for Prevention and Treatment of Oral Mucositis Due to Radiotherapy and/or Chemotherapy for Head and Neck Cancer.

Journal of integrative and complementary medicine·2026
Same author

Advances in the Application of Low-Cost, Natural Materials, and Waste-Derived Catalysts for Catalytic Upgrading of Plastic and Biomass Pyrolysis Oil.

Energy & fuels : an American Chemical Society journal·2026
Same author

Assessing residential neighborhood exposomes and their associations with cancer incidence: rationale, study design, and methods.

American journal of epidemiology·2025
Same author

Bayesian Gower agreement for categorical data.

Scientific reports·2025
Same author

Enhanced spatial analysis assessing the association between PFAS-contaminated water and cancer incidence: rationale, study design, and methods.

BMC cancer·2025
Same journal

Probabilistic Joint and Individual Variation Explained (ProJIVE) for Data Integration.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
Same journal

fastkqr: A Fast Algorithm for Kernel Quantile Regression.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
Same journal

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
Same journal

Joint Registration and Conformal Prediction for Partially Observed Functional Data.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
Same journal

Efficient Decision Trees for Tensor Regressions.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
Same journal

Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America·2026
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.4K

快速贝叶斯推理空间平均值-参数化的康威-马克斯韦-波森模型.

Bokgyeong Kang1, John Hughes2, Murali Haran3

  • 1Department of Statistical Science, Duke University.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
|July 9, 2025
PubMed
概括
此摘要是机器生成的。

我们引入空间平均参数化的康威-马克斯韦尔-波森 (COMP) 模型来分析复杂的计数数据,克服现有方法的局限性. 我们的方法有效地处理空间依赖和零通货膨胀,改善可解释性和计算速度,用于各种应用.

关键词:
交易所算法 交易所算法可逆跳转的马尔科夫链蒙特卡洛的马尔科夫链.空间依赖 空间依赖线的近似值是什么在低分散下.零通货膨胀 没有通货膨胀

更多相关视频

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

相关实验视频

Last Updated: Sep 16, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.4K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

科学领域:

  • 统计 统计 统计 统计
  • 生物统计学 生物统计学
  • 空间分析 空间分析

背景情况:

  • 计数数据经常显示零通货膨胀,空间依赖性和不同科学领域的不均分散.
  • 现有的模型,如康威-马克斯韦尔-波桑 (COMP) 和普华式波桑分布,在参数约束和解释性方面存在局限性.
  • 需要灵活和可解释的模型来分析具有空间结构的复杂计数数据.

研究的目的:

  • 提出新的空间平均值参数化 COMP 模型,解决现有方法的可解释性和参数空间挑战.
  • 为高维空间计数数据开发一种高效的贝叶斯空间过方法.
  • 为COMP分布引入快速计算策略,解决其难以处理的概率和非封闭形式的平均值.

主要方法:

  • 开发空间平均参数化的康威-马克斯韦尔-波森 (COMP) 模型.
  • 应用贝叶斯空间过与可逆跳转马尔科夫链蒙特卡洛 (MCMC) 进行自动基础向量选择.
  • 实施辅助变量算法和预先计算的近似值,以进行高效的COMP概率评估.

主要成果:

  • 提出的模型成功地保留了现有方法的灵活性,同时解决了参数解释性和约束的问题.
  • 贝叶斯空间过方法有效地处理高维空间数据.
  • 计算方法显著提高了分析COMP分布的速度和可行性.

结论:

  • 空间平均参数化的COMP模型为空间依赖的复杂计数数据提供了灵活,可解释和计算效率高的解决方案.
  • 该方法广泛适用于各种学科,包括公共卫生和生态学,正如现实世界数据集所证明的那样.
  • 开发的计算技术增强了COMP模型在统计分析中的实际实用性.