We prove a representation of the partial autocorrelation function α(・) of a stationary process { Xn : n ∈ Z}, in terms of the AR(∞) and MA(∞) coefficients. We apply it to show what α(n) looks like for large n, especially, when {Xn} is a long-memory process. For example, if {Xn} is a fractional ARIMA(p. d. q) process, then we have a(n)~d/n as n → ∞
The detection of long-range dependence in time series analysis is an important task to which this pa...
We consider the finite-past predictor coefficients of stationary time series, and establish an expli...
In this paper we give explicit examples of long-range correlated stationary Markovian processes y(t)...
We prove a representation of the partial autocorrelation function (PACF), or the Verblunsky coeffici...
Abstract. We prove a representation of the partial autocorrelation function (PACF), or the Verblunsk...
Abstract. We prove a simple asymptotic formula for partial autocorrelation func-tions of fractional ...
Abstract. We prove a simple asymptotic formula for partial autocorrelation func-tions of fractional ...
Let {Xn : ri E Z} be a fractional ARIMA{p, d, q) process with partial autocorrelation functiono:(·)....
The purpose of this paper is to study the long-time behaviour of the partial autocorrelation functio...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
In this paper, we consider a method (splitting) for calculating the autocovariances of fractional in...
For an autoregressive fractionally integrated moving-average ARFIMA(p, d, q) process, it is often a ...
AbstractWe present a short proof of the fact that the exponential decay rate of partial autocorrelat...
The detection of long-range dependence in time series analysis is an important task to which this pa...
This paper derives the autocorrelation function of the squared values of long‐memory GARCH processes...
The detection of long-range dependence in time series analysis is an important task to which this pa...
We consider the finite-past predictor coefficients of stationary time series, and establish an expli...
In this paper we give explicit examples of long-range correlated stationary Markovian processes y(t)...
We prove a representation of the partial autocorrelation function (PACF), or the Verblunsky coeffici...
Abstract. We prove a representation of the partial autocorrelation function (PACF), or the Verblunsk...
Abstract. We prove a simple asymptotic formula for partial autocorrelation func-tions of fractional ...
Abstract. We prove a simple asymptotic formula for partial autocorrelation func-tions of fractional ...
Let {Xn : ri E Z} be a fractional ARIMA{p, d, q) process with partial autocorrelation functiono:(·)....
The purpose of this paper is to study the long-time behaviour of the partial autocorrelation functio...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
In this paper, we consider a method (splitting) for calculating the autocovariances of fractional in...
For an autoregressive fractionally integrated moving-average ARFIMA(p, d, q) process, it is often a ...
AbstractWe present a short proof of the fact that the exponential decay rate of partial autocorrelat...
The detection of long-range dependence in time series analysis is an important task to which this pa...
This paper derives the autocorrelation function of the squared values of long‐memory GARCH processes...
The detection of long-range dependence in time series analysis is an important task to which this pa...
We consider the finite-past predictor coefficients of stationary time series, and establish an expli...
In this paper we give explicit examples of long-range correlated stationary Markovian processes y(t)...