BriefGPT.xyz
Jun, 2023
利用时间不变性和线性性预测部分观测动态时间序列的发展
Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity
HTML
PDF
Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
TL;DR
该研究提出了一种具有弹性时间序列(ARS)模型，该模型涉及估计缺失变量作为弹性时间序列和其他变量的演化函数，以实现动态时间序列变量的预测。
Abstract
A
dynamical system
produces a dependent multivariate sequence called
dynamical time series
, developed with an evolution function. As variables in the
→