Moving Forward with Time Series Analysis

NIAID Data Ecosystem2026-03-10 收录

时序建模

社会科学分析

数据链接：

https://doi.org/10.7910/DVN/JQEAG2 数据链接链接失效反馈

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资源简介：

Replication materials for "Moving Forward with Time Series Analysis" (Enns, Kelly, Masaki, and Wohlfarth 2017).

创建时间：

2019-01-08

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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

Datasets for Computational Methods and GIS Applications in Social Science

GIS应用

社会科学分析

Dataset for the textbook Computational Methods and GIS Applications in Social Science (3rd Edition), 2023 Fahui Wang, Lingbo Liu Main Book Citation: Wang, F., & Liu, L. (2023). Computational Methods a

DataONE2023-08-07 更新70

Supplement 1. R code for simulation implementation and parameter estimation.

时序建模

参数估计方法比较

File List EstimationComparison.R (MD5: 5055e25ebc61fe8dbf012b48198eadda) Simulations.R (MD5: 56eef6b34cb59a85d5072b0b20e645ec) CreateFigures.R (MD5: 2c19a14d1ac5887ba544c2937d8639ca

NIAID Data Ecosystem40

Replication Data for: Keyword Assisted Topic Models

关键词辅助主题模型

社会科学分析

In recent years, fully automated content analysis based on probabilistic topic models has become popular among social scientists because of their scalability. The unsupervised nature of the models mak

DataONE2023-01-31 更新90

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

Moving Forward with Time Series Analysis

资源简介：

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