We present some iterative method for estimation of the scale and Hurst parameters which is addressed for semi-selfsimilar processes with stationary increments. This method is based on some flexible sampling scheme and evaluating sam- ple variance of increments in each scale intervals [λn−1,λn), n ∈ N. For such iterative method we find the initial estimation for the scale parameter by evaluating cumulative sum of moving sample variances and also by evaluating sample variance of preceding and succeeding moving sample variance of increments. We also present a new efficient method for estimation of Hurst parameter of selfsimilar processe
The aim of this thesis is to provide a characterization of the statistical properties of estimator o...
The main topic of this dissertation is the estimation of the Hurst index H of the solutions of stoch...
This paper presents a generalized approach to the fractal analysis of self-similar random processes ...
The characteristic feature of semi-selfsimilar process is the invariance of its nite dimensional dis...
National audienceIn this article, we propose to study an estimator of the Hurst parameter for irregu...
We present a new method to estimate the Hurst parameter. The method exploits the form of the autocor...
In the paper consistent estimates of the Hurst parameter of fractional Brownian motion are obtained ...
International audienceThe fractional Brownian motion which has been defined by Kolmogorov \cite{k40}...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
Some real-world phenomena in geo-science, micro-economy, and turbulence, to name a few, can be effec...
International audienceSome real-world phenomena in geo-science, micro-economy, and turbulence, to na...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
International audienceIn the modern world of "Big Data," dynamic signals are often multivariate and ...
Linear fractional stable motion is an example of a self-similar stationary increments stochastic pro...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
The aim of this thesis is to provide a characterization of the statistical properties of estimator o...
The main topic of this dissertation is the estimation of the Hurst index H of the solutions of stoch...
This paper presents a generalized approach to the fractal analysis of self-similar random processes ...
The characteristic feature of semi-selfsimilar process is the invariance of its nite dimensional dis...
National audienceIn this article, we propose to study an estimator of the Hurst parameter for irregu...
We present a new method to estimate the Hurst parameter. The method exploits the form of the autocor...
In the paper consistent estimates of the Hurst parameter of fractional Brownian motion are obtained ...
International audienceThe fractional Brownian motion which has been defined by Kolmogorov \cite{k40}...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
Some real-world phenomena in geo-science, micro-economy, and turbulence, to name a few, can be effec...
International audienceSome real-world phenomena in geo-science, micro-economy, and turbulence, to na...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
International audienceIn the modern world of "Big Data," dynamic signals are often multivariate and ...
Linear fractional stable motion is an example of a self-similar stationary increments stochastic pro...
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficie...
The aim of this thesis is to provide a characterization of the statistical properties of estimator o...
The main topic of this dissertation is the estimation of the Hurst index H of the solutions of stoch...
This paper presents a generalized approach to the fractal analysis of self-similar random processes ...