This paper considers the case where a stochastic process may display both long-range dependence and second-order intermittency. The existence of such a process is established in Anh, Angulo and Ruiz-Medina (1999). We systematically study the estimation of parameters involved in the spectral density function of a process with long-range dependence and second-order intermittency. An estimation procedure for the parameters is given. Numerical results are presented to support the estimation procedure proposed in this paper
A stationary Gaussian process is said to be long-range dependent (resp., anti-persistent) if its spe...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...
© 2001 Blackwell Publishers Ltd.This paper considers the case where a stochastic process may display...
AbstractThis paper considers statistical inference for nonstationary Gaussian processes with long-ra...
This paper considers statistical inference for nonstationary Gaussian processes with long-range depe...
This paper considers statistical inference for nonstationary Gaussian processes with long-range depe...
Semi-parametric estimation of the long-range dependence parameter was a subject of major interest in...
This paper considers statistical inference for nonstationaryGaussian processes with long-range depen...
This paper considers statistical inference for nonstationaryGaussian processes with long-range depen...
2004 © Applied Probability TrustThis paper considers a class of continuous-time long-range-dependent...
This paper considers the situation where a stochastic process may display both long-range dependence...
This paper considers the situation where a stochastic process may display both long-range dependence...
Abstract: In this paper we study the asymptotic behaviour of empirical processes when parameters are...
AbstractWe derive a functional central limit theorem for the empirical spectral measure or discretel...
A stationary Gaussian process is said to be long-range dependent (resp., anti-persistent) if its spe...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...
© 2001 Blackwell Publishers Ltd.This paper considers the case where a stochastic process may display...
AbstractThis paper considers statistical inference for nonstationary Gaussian processes with long-ra...
This paper considers statistical inference for nonstationary Gaussian processes with long-range depe...
This paper considers statistical inference for nonstationary Gaussian processes with long-range depe...
Semi-parametric estimation of the long-range dependence parameter was a subject of major interest in...
This paper considers statistical inference for nonstationaryGaussian processes with long-range depen...
This paper considers statistical inference for nonstationaryGaussian processes with long-range depen...
2004 © Applied Probability TrustThis paper considers a class of continuous-time long-range-dependent...
This paper considers the situation where a stochastic process may display both long-range dependence...
This paper considers the situation where a stochastic process may display both long-range dependence...
Abstract: In this paper we study the asymptotic behaviour of empirical processes when parameters are...
AbstractWe derive a functional central limit theorem for the empirical spectral measure or discretel...
A stationary Gaussian process is said to be long-range dependent (resp., anti-persistent) if its spe...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...
International audienceA stationary Gaussian process is said to be long-range dependent (resp. anti-p...