English

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

Statistics Theory 2022-10-24 v1 Statistics Theory

Abstract

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.

Keywords

Cite

@article{arxiv.2210.11677,
  title  = {Structural equation modeling with latent variables for diffusion processes based on high-frequency data},
  author = {Shogo Kusano and Masayuki Uchida},
  journal= {arXiv preprint arXiv:2210.11677},
  year   = {2022}
}

Comments

54pages

R2 v1 2026-06-28T04:08:33.709Z