Akaike-type information criterion of SEM for jump-diffusion processes based on high-frequency data
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911273998876672 |
|---|---|
| author | Kusano, Shogo Uchida, Masayuki |
| author_facet | Kusano, Shogo Uchida, Masayuki |
| contents | Structural equation modeling (SEM) is a statistical method used to investigate relationships among latent variables. In SEM, the model must be specified in advance. However, in practice, statisticians often have several candidate models and need to select the most appropriate one. Consequently, model selection is a key issue in SEM, and information criteria are commonly used to address this issue. In this study, we develop an Akaike-type information criterion of SEM for jump-diffusion processes, which enables model selection for SEM based on high-frequency data with jumps. Simulation studies are conducted to illustrate the finite-sample performance of the proposed method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_14333 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Akaike-type information criterion of SEM for jump-diffusion processes based on high-frequency data Kusano, Shogo Uchida, Masayuki Statistics Theory Structural equation modeling (SEM) is a statistical method used to investigate relationships among latent variables. In SEM, the model must be specified in advance. However, in practice, statisticians often have several candidate models and need to select the most appropriate one. Consequently, model selection is a key issue in SEM, and information criteria are commonly used to address this issue. In this study, we develop an Akaike-type information criterion of SEM for jump-diffusion processes, which enables model selection for SEM based on high-frequency data with jumps. Simulation studies are conducted to illustrate the finite-sample performance of the proposed method. |
| title | Akaike-type information criterion of SEM for jump-diffusion processes based on high-frequency data |
| topic | Statistics Theory |
| url | https://arxiv.org/abs/2511.14333 |