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

10/21/2022
by   Shogo Kusano, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/04/2023

Structural equation modeling with latent variables for diffusion processes and its application to sparse estimation

We consider structural equation modeling (SEM) with latent variables for...
research
06/25/2018

Quasi-likelihood analysis of an ergodic diffusion plus noise

We consider adaptive maximum-likelihood-type estimators and adaptive Bay...
research
08/10/2020

A Note on Likelihood Ratio Tests for Models with Latent Variables

The likelihood ratio test (LRT) is widely used for comparing the relativ...
research
12/26/2019

Misspecified diffusion models with high-frequency observations and an application to neural networks

We study the asymptotic theory of misspecified models for diffusion proc...
research
02/07/2023

Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes and Latent Classes: The R package NonLinearCurve

We introduce R package NonLinearCurve that provides a series of function...
research
02/03/2022

Statistical inference in factor analysis for diffusion processes from discrete observations

We consider statistical inference in factor analysis for ergodic and non...
research
06/25/2018

Evaluation of Information Retrieval Systems Using Structural Equation Modelling

The interpretation of the experimental data collected by testing systems...

Please sign up or login with your details

Forgot password? Click here to reset