Time-series parameters

Figshare2020-07-02 更新2026-04-28 收录

时序建模

参数分析

数据链接：

https://figshare.com/articles/dataset/Time-series_parameters/12599648 数据链接链接失效反馈

官方服务：

资源简介：

This is a summary of results yielded in time series analyses (including three parameters: intercept, slope, autocorrelation).

创建时间：

2020-07-02

Parameter_Sweep_Model_Results.xlsx

地质模型

参数分析

Results of parametric analyses performed for Goldman et al. (in prep). Spreadsheet is organized into six tabs by model configuration, in a manner similar to Figure 4 of the main manuscript. Each tab n

DataCite Commons2022-07-20 更新740

Dataset 4R.6: Solutions files, sigma = 50, part 6 (Nam et al., Robustness and parameter geography in post-translational modification systems)

生物化学

参数分析

All proper solutions files for Paramotopy runs with \sigma = 50 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.

Mendeley Data2024-01-31 更新90

Dataset 5A.2: Certification files, sigma = 1, part 2 (Nam et al., Robustness and parameter geography in post-translational modification systems)

翻译后修饰

参数分析

All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.

doi.org60

Fork

时序建模

因果发现

This structure is generated by the following equations: V^{(1)}_t = 0.2 * V^{(1)}_{t - 1} + 0.1 * \eps^1_t V^{(2)}_t = 0.2 * V^{(2)}_{t - 1} + 0.7 * V^{(1)}_{t - 1} + 0.1 * \eps^2_t V^{(3)}_t = 0.2 *

NIAID Data Ecosystem110

Accounting for time series errors in partially linear model with single- or multiple-run

时序建模

磁共振影像分析

This paper concerns statistical estimation of the partially linear model (PLM) for time course measurements, which are temporally correlated and allow multiple-run for repeated measurements to enhance

NIAID Data Ecosystem70

Time-series parameters

资源简介：

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