附录里的matlab代码-Tensor-mortality-prediction:使用张量分解的多人口死亡率预测（Matlab代码）
附录里的matlab代码张量死亡率预测
该目录提供了可在以下论文中重现结果的代码：
Dong，Y.，Huang，F.，Yu，H.，＆Haberman，S.（2019年）。
使用张量分解预测多族群死亡率，工作论文。
软件依赖
地块/表格是在以下软件下生成的
MATLAB
R2018b
作业系统：Windows
10
[重要笔记]：
“张量工具箱”用于进行张量分解。
主页是。
“
DSP系统工具箱”用于计算RMSE
/
RMSFE。
可以在MATLAB中下载。
“
Econometrics
Toolbox”用于拟合时间序列模型。
可以在MATLAB中下载。
“并行计算工具箱”用于执行parfor循环。
可以在MATLAB中下载。
Lee-Carter模型的MATLAB代码可从本文的附录（图9）中获得。
您也可以使用其他软件来拟合Lee-Carter模型，因为它是著名模型。
由于版权，我们不提供Lee-Carter模型的代码。
此处使用的数据是中心死亡率（Mx_1x1），应从“人类死亡率数据库”（）进行下载和处理。
为了方便起见，我们将数据安排为“
.mat”格式。
繁殖指南
我们以10个欧
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