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相关概念视频

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

110
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
110
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

44
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...
44
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

62
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...
62
Isochoric and Isobaric Processes01:21

Isochoric and Isobaric Processes

3.4K
A thermodynamic process that occurs at constant volume is called an isochoric process. According to the first law of thermodynamics, heat supplied or removed from the system is partially utilized to perform work and change the internal energy of the system. However, in an isochoric process, the volume remains constant. Hence, the work done by the system is zero. Therefore, the exchange of heat changes the internal energy of the system only. 
Suppose 1000 g of water is heated from 40...
3.4K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

31
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
31

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相关实验视频

Updated: Jun 10, 2025

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

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用空间变化系数过程进行空间建模.

Alan E Gelfand1, Hyon-Jung Kim2, C F Sirmans3

  • 1Institute of Statistics and Decision Sciences, Duke University, Durham, NC 27708-0251.

Journal of the American Statistical Association
|October 18, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了回归系数的灵活空间建模方法,超越了常数系数假设. 这种方法增强了对空间相关数据的理解,特别是在房地产价格预测中.

关键词:
贝叶斯的框架 贝叶斯的框架多变量空间过程是多变量空间过程.预测 预测 预测时间空间建模.静态高斯过程 静态高斯过程

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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

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相关实验视频

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

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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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科学领域:

  • 空间统计的空间统计.
  • 地质统计学 在地质统计学
  • 计量经济学 计量经济学

背景情况:

  • 传统的回归模型假定一个区域的系数是恒定的.
  • 响应中的空间相关性在许多应用中很常见.
  • 回归系数的局部变化经常被忽视,但很重要.

研究的目的:

  • 提出一个灵活的统计框架来建模空间变化的回归系数.
  • 将系数面视为空间过程的实现.
  • 扩展现有的空间回归方法.

主要方法:

  • 模型系数表面作为空间过程 (例如,高斯过程).
  • 在高斯响应模型中的正式化.
  • 扩展到一般化的线性模型和时空设置.

主要成果:

  • 在随机效应和残余分析方面展示了有吸引力的解释.
  • 为参数空间表面提供了一个更自然,更灵活的替代方案.
  • 用一组关于单户住宅价格的数据集说明应用程序.

结论:

  • 将空间变化系数视为空间过程的实现提供了一个强大而灵活的建模方法.
  • 提出的方法适用于各种回归设置,包括时空数据.
  • 这一框架提高了空间回归模型的解释性和解释能力.