Change point inference in ergodic diffusion processes based on high frequency data

04/23/2021
by   Yozo Tonaki, et al.
0

We deal with the change point problem in ergodic diffusion processes based on high frequency data. Tonaki et al. (2020, 2021) studied the change point problem for the ergodic diffusion process model. However, the change point problem for the drift parameter when the diffusion parameter changes is still open. Therefore, we consider the change detection and the change point estimation for the drift parameter taking into account that there is a change point in the diffusion parameter. Moreover, we examine the performance of the tests and the estimation with numerical simulations.

READ FULL TEXT
research
02/13/2021

Estimation for change point of discretely observed ergodic diffusion processes

We treat the change point problem in ergodic diffusion processes from di...
research
06/09/2022

On Low-Complexity Quickest Intervention of Mutated Diffusion Processes Through Local Approximation

We consider the problem of controlling a mutated diffusion process with ...
research
06/16/2017

State change modal method for numerical simulation of dynamic processes in a nuclear reactor

Modeling of dynamic processes in nuclear reactors is carried out, mainly...
research
07/11/2019

Model based Level Shift Detection in Autocorrelated Data Streams using a moving window

Standard Control Chart techniques to detect level shift in data streams ...
research
11/10/2017

Estimation of Cusp Location of Stochastic Processes: a Survey

We present a review of some recent results on estimation of location par...
research
02/10/2020

gfpop: an R Package for Univariate Graph-Constrained Change-point Detection

In a world with data that change rapidly and abruptly, it is important t...
research
05/28/2023

Reliable and Interpretable Drift Detection in Streams of Short Texts

Data drift is the change in model input data that is one of the key fact...

Please sign up or login with your details

Forgot password? Click here to reset