For long range dependent time series with a spectral singularity at frequency zero, a theory for optimal bandwidth choice in non-parametric analysis of the singularity was developed by Robinson (1994a). In the present paper, the optimal bandwidths are compared with those in case of a smooth spectrum. They are also analysed in case of fractional ARIMA models and calculated as a function of the self similarity parameter in some special cases. Feasible data-dependent approximations to the optimal bandwidth are proposed. We also include some applications using real dataPublicad
This paper is devoted to the discrimination between a stationary long-range dependent model and a no...
Abstract: This paper deals with optimal window width choice in non-parametric lag- or spectral windo...
We consider a fractional exponential, or FEXP estimator of the memory parameter of a stationary Gaus...
For long range dependent time series with a spectral singularity at frequency zero, a theory for opt...
For long range dependent time series with a spectral singularity at frequency zero, a theory for opt...
Recent work in econometrics has provided large bandwidth asymptotic theory for taper-based studentiz...
This paper presents strategies proposed for the choice of bandwidth, i.e. the number of periodogram ...
There exist several estimators of the memory parameter in long-memory time series models with mean µ...
This thesis examines some statistical procedures in the frequency domain to analyze long-memory seri...
This dissertation considers semiparametric spectral estimates of temporal dependence in time series....
We study the properties of Mallowsâ CL criterion for selecting a fractional exponential (FEXP) mo...
This chapter reviews semiparametric methods of inference on different aspects of long memory time s...
We analyse the properties of nonparametric spectral estimates when applied to long memory and trendi...
The choice of the bandwidth in the local log-periodogram regression is of crucial importance for est...
This paper is devoted to the discrimination between a stationary long-range dependent model and a no...
Abstract: This paper deals with optimal window width choice in non-parametric lag- or spectral windo...
We consider a fractional exponential, or FEXP estimator of the memory parameter of a stationary Gaus...
For long range dependent time series with a spectral singularity at frequency zero, a theory for opt...
For long range dependent time series with a spectral singularity at frequency zero, a theory for opt...
Recent work in econometrics has provided large bandwidth asymptotic theory for taper-based studentiz...
This paper presents strategies proposed for the choice of bandwidth, i.e. the number of periodogram ...
There exist several estimators of the memory parameter in long-memory time series models with mean µ...
This thesis examines some statistical procedures in the frequency domain to analyze long-memory seri...
This dissertation considers semiparametric spectral estimates of temporal dependence in time series....
We study the properties of Mallowsâ CL criterion for selecting a fractional exponential (FEXP) mo...
This chapter reviews semiparametric methods of inference on different aspects of long memory time s...
We analyse the properties of nonparametric spectral estimates when applied to long memory and trendi...
The choice of the bandwidth in the local log-periodogram regression is of crucial importance for est...
This paper is devoted to the discrimination between a stationary long-range dependent model and a no...
Abstract: This paper deals with optimal window width choice in non-parametric lag- or spectral windo...
We consider a fractional exponential, or FEXP estimator of the memory parameter of a stationary Gaus...