Regular multidimensional stationary time series

12/01/2020
by   Tamás Szabados, et al.
0

The aim of this paper is to give a relatively simple, usable sufficient and necessary condition to the regularity of generic time series. Also, this condition is used to show how a regular process can be approximated by a lower rank regular process.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/26/2023

Factorization of a spectral density with smooth eigenvalues of a multidimensional stationary time series

The aim of this paper to give a multidimensional version of the classica...
research
04/27/2020

The Local Partial Autocorrelation Function and Some Applications

The classical regular and partial autocorrelation functions are powerful...
research
05/09/2023

Description Complexity of Regular Distributions

Myerson's regularity condition of a distribution is a standard assumptio...
research
11/27/2018

An Analytical Approach to Improving Time Warping on Multidimensional Time Series

Dynamic time warping (DTW) is one of the most used distance functions to...
research
03/29/2022

Transformation cost spectrum for irregularly sampled time series

Irregularly sampled time series analysis is a common problem in various ...
research
12/18/2019

Method of moments estimators for the extremal index of a stationary time series

The extremal index θ, a number in the interval [0,1], is known to be a m...
research
08/13/2020

Stationary vine copula models for multivariate time series

Multivariate time series exhibit two types of dependence: across variabl...

Please sign up or login with your details

Forgot password? Click here to reset