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相关概念视频

Bootstrapping01:24

Bootstrapping

602
The term "bootstrap" originated in the 19th century as a metaphor for self-improvement or achieving something independently, without external assistance. This concept extends to statistical bootstrapping, a self-contained method for estimating population parameters through resampling, even though it can be computationally intensive. Developed by the American statistician Dr. Bradley Efron in 1979, bootstrapping provides a robust way to perform inference when the original sample size is...
602
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

476
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...
476
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

131
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,...
131
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

68
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...
68
Survival Tree01:19

Survival Tree

79
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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相关实验视频

Updated: Jun 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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大型多重图形模型通过引导陷进行干扰.

Yongli Zhang1, Xiaotong Shen1, Shaoli Wang1

  • 1University of Oregon, University of Minnesota, Minneapolis and Shanghai University of Finance and Economics.

Statistica Sinica
|June 3, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种引导式方法,用于检测大型经济网络中的结构变化. 新的方法准确地推断出金融网络的转变,即使在高维的设置中,也比现有的方法更好.

关键词:
在 Bootstrap 中使用 Bootstrap.图形模型是图形模型的模型.高维推理推理的高维推理模型选择,模型选择.规范化 规范化 规范化

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科学领域:

  • 计量经济学 计量经济学
  • 网络分析 网络分析
  • 统计推理 统计推理

背景情况:

  • 经济和金融网络容易受到外部冲击造成的结构变化.
  • 检测这些变化对于理解网络动态至关重要.
  • 高维模型由于规范化中的偏见和不确定性而带来挑战.

研究的目的:

  • 开发一种可靠的方法来检测大型,高维度的经济和金融网络中的结构变化.
  • 解决过度参数化的模型中偏差和不确定性的挑战.
  • 为网络分析提供统计学上合理的推断框架.

主要方法:

  • 利用多个高斯图形模型来表示网络结构.
  • 采用bootstrap方法来近似概率比率测试统计数据的抽样分布.
  • 开发了一个理论框架,用于在高维设置中进行非对称推断.

主要成果:

  • 提议的引导式方法确保了正确的非对称推断,无论测试统计数据的分布如何.
  • 与概率比率测试相比,模拟显示出更高的性能.
  • 对股票网络的分析显示,在2007-2009年金融危机后,连接性增加.

结论:

  • 引导式方法提供了一种可靠的方法来检测金融网络中的结构变化.
  • 金融危机显著改变网络连接,各个资产的反应各不相同.
  • 这些发现提供了对网络弹性和适应机制的见解.