This paper derives second-order expansions for the distributions of the Whittle and profile plug-in maximum likelihood estimators of the fractional difference parameter in the ARFIMA(0, d ,0) with unknown mean and variance. Both estimators are shown to be second-order pivotal. This extends earlier findings of Lieberman and Phillips (2001), who derived expansions for the Gaussian maximum likelihood estimator under the assumption that the mean and variance are known. One implication of the results is that the parametric bootstrap upper one-sided confidence interval provides an o ( n -1 ln n ) improvement over the delta method. For statistics that are not second-order pivotal, the improvement is generally only of the order o ( n -1/ 2 ln n )
The semiparametric local Whittle or Gaussian estimate of the long memory parameter is known to have ...
Semiparametric estimation of a bivariate fractionally coitegrated system is considered. The new esti...
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version ...
This paper derives second-order expansions for the distributions of the Whittle and profile plug-in m...
The maximum likelihood estimator (MLE) of the fractional difference parameter in the Gaussian ARFIMA(...
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version ...
Fractionally integrated vector autoregressive models allow to capture persistence in time series dat...
This article develops confidence interval procedures for functions of simple, partial, and squared m...
This short paper provides a comprehensive set of new theoretical results on the impact of mis-specif...
In this paper, we examine the finite-sample properties of the approximate maximum likelihood estimat...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
International audienceWe apply the techniques of stochastic integration with respect to the fraction...
We consider the problem of conducting estimation and inference on the parameters of univariate heter...
I consider a bivariate stationary fractional cointegration system and I propose a quasi-maximum like...
© 2014 Society for Industrial and Applied Mathematics. In some nonregular statistical estimation pro...
The semiparametric local Whittle or Gaussian estimate of the long memory parameter is known to have ...
Semiparametric estimation of a bivariate fractionally coitegrated system is considered. The new esti...
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version ...
This paper derives second-order expansions for the distributions of the Whittle and profile plug-in m...
The maximum likelihood estimator (MLE) of the fractional difference parameter in the Gaussian ARFIMA(...
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version ...
Fractionally integrated vector autoregressive models allow to capture persistence in time series dat...
This article develops confidence interval procedures for functions of simple, partial, and squared m...
This short paper provides a comprehensive set of new theoretical results on the impact of mis-specif...
In this paper, we examine the finite-sample properties of the approximate maximum likelihood estimat...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
International audienceWe apply the techniques of stochastic integration with respect to the fraction...
We consider the problem of conducting estimation and inference on the parameters of univariate heter...
I consider a bivariate stationary fractional cointegration system and I propose a quasi-maximum like...
© 2014 Society for Industrial and Applied Mathematics. In some nonregular statistical estimation pro...
The semiparametric local Whittle or Gaussian estimate of the long memory parameter is known to have ...
Semiparametric estimation of a bivariate fractionally coitegrated system is considered. The new esti...
In this paper fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version ...