Sloppy Algorithm

Figshare2015-11-12 更新2026-04-29 收录

心脏电生理模型优化

参数敏感性分析

数据链接：

https://figshare.com/articles/dataset/Sloppy_Algorithm/1601027 数据链接链接失效反馈

官方服务：

资源简介：

Optimizing Variability to Maximize Population Benefit. IDL code. Authors: Leighton T. Izu 1, Tamás Bányász and Ye Chen-Izu

创建时间：

2015-11-12

Parameters ranking according to their influence on the model output total variance.

参数敏感性分析

多尺度模型输入重要性

A rank is assigned to each parameter according to how much it impacts the model output total variance. Parameter groups are assigned a score given by the sum of the ranks of their member parameters. T

NIAID Data Ecosystem60

Model parameters that have been included in the sensitivity analysis, their upper and lower bounds and their probability density functions.

参数敏感性分析

不确定性量化

Model parameters that have been included in the sensitivity analysis, their upper and lower bounds and their probability density functions.

NIAID Data Ecosystem50

Appendix C. Elasticity values and life-stage simulation analysis regression coefficients for each parameter in the overall model.

生命周期模拟

参数敏感性分析

Elasticity values and life-stage simulation analysis regression coefficients for each parameter in the overall model.

Figshare2016-08-09 更新20

Model inputs: Base case values, ranges, and distributions for sensitivity analysis.

参数敏感性分析

不确定性量化

Model inputs: Base case values, ranges, and distributions for sensitivity analysis.

Figshare2023-06-01 更新50

Sensitivity of the probability of entering in competence.

参数敏感性分析

行为学统计建模

This table shows the sensitivity of the probability of entering in competence, as each of the indicated parameter varies, when the remaining parameters are set to their nominal values given in Table 1

Figshare2015-12-02 更新30

Sloppy Algorithm

资源简介：

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