论文标题

基于高频数据的扩散过程的潜在变量的结构方程建模

Structural equation modeling with latent variables for diffusion processes based on high-frequency data

论文作者

Kusano, Shogo, Uchida, Masayuki

论文摘要

我们考虑基于高频数据的扩散过程的潜在变量的结构方程建模(SEM)。我们得出了SEM中参数的准类估计器。提出了基于准类比率的拟合优点测试。此外,研究了我们提出的估计量的渐近性能。

We consider structural equation modeling (SEM) with latent variables for diffusion processes based on high-frequency data. We derive the quasi-likelihood estimators for parameters in the SEM. The goodness-of-fit test based on the quasi-likelihood ratio is proposed. Furthermore, the asymptotic properties of our proposed estimators are examined.

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