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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

72
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...
72
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

150
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
150
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

89
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...
89
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.6K
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

373
The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
373
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
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...
64

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

Research progress and prospects of nutrient delivery systems in food design for the elderly.

Critical reviews in food science and nutrition·2026
Same author

Postnatal Maxillofacial "Developing" Decellularized Extracellular Matrix Orchestrates Hierarchical Cross-Organ Regeneration via Macrophage Integrin αvβ5-Mediated Efferocytosis-Driven Developmental Recapitulation.

Research (Washington, D.C.)·2026
Same author

AI-powered TargetMap: Enabling system-level target discovery through full-path reasoning on a unified knowledge graph.

iScience·2026
Same author

Chemically Reprogramming Liquid Metals With Polyphenols for a Self-Reinforcing Assault on Biofilms.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

AI approaches for predicting progression to acute coronary syndrome among stable coronary heart disease patients.

NPJ cardiovascular health·2026
Same author

Noninvasive evaluation and clinical value prediction of tumor-infiltrating neutrophil-to-T-cell ratio in pancreatic ductal adenocarcinoma.

NPJ digital medicine·2026
Same journal

Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment.

Journal of the American Statistical Association·2026
Same journal

Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates.

Journal of the American Statistical Association·2026
Same journal

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference.

Journal of the American Statistical Association·2026
Same journal

Facilitating Heterogeneous Effect Estimation via Statistically Efficient Categorical Modifiers.

Journal of the American Statistical Association·2026
Same journal

Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data.

Journal of the American Statistical Association·2026
Same journal

Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Clinicogenomic Data.

Journal of the American Statistical Association·2026
查看所有相关文章

相关实验视频

Updated: Jul 15, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K

稀缺主题建模:计算效率,近最佳算法和统计推理.

Ruijia Wu1, Linjun Zhang2, T Tony Cai1

  • 1Department of Statistics and Data Science, University of Pennsylvania.

Journal of the American Statistical Association
|September 29, 2023
PubMed
概括
此摘要是机器生成的。

使用概率潜伏语义索引 (pLSI) 进行稀疏主题建模的新算法在计算上是高效和准确的. 这些方法为估计word-topic和topic-document矩阵提供最佳性能,优于现有的方法.

关键词:
主题建模 主题建模值得信赖的时间间隔.高维统计的高维统计.矩阵分解因子化稀缺性是一种稀缺性.

更多相关视频

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K

相关实验视频

Last Updated: Jul 15, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K

科学领域:

  • 计算统计的计算统计.
  • 机器学习 机器学习
  • 自然语言处理自然语言处理.

背景情况:

  • 概率潜伏语义索引 (pLSI) 是主题建模的基础模型.
  • 稀疏的PLSI现有方法经常面临计算挑战和精度的局限性.
  • 对稀疏主题模型的高效估计和推断对于大规模文本分析至关重要.

研究的目的:

  • 在plsi框架下开发用于稀疏主题建模的新,计算速度快的算法.
  • 从理论上分析拟议的估计和推断算法的属性.
  • 为模型参数构建有效的置信区间提供一种方法.

主要方法:

  • 在稀疏的PLSI中开发新的算法来估计word-topic和topic-document矩阵.
  • 理论研究涉及最小的上下边界,以确定利率最佳性.
  • 引入一个重新调整算法,以确保非对称的正常性,并使信任区间的构建.
  • 通过模拟研究和分析COVID-19开放研究数据集 (CORD-19) 的实证验证.

主要成果:

  • 拟议的算法证明了计算效率和高精度在估计稀疏主题模型.
  • 理论分析证实了算法的速度-最佳性,高达对数因子.
  • 与现有文献相比,模拟研究显示出优越的数值性能和准确性.
  • 对CORD-19数据集的成功应用,证明了其实际实用性.

结论:

  • 新的算法为使用plsi.si进行稀疏主题建模提供了显著的速度和准确性的改进.
  • 理论上的保证和实际性能验证了文本数据分析的拟议方法.
  • 这些进步有助于从包括科学文献在内的大型文本库中获得更强大,更可靠的见解.