We consider the problem of parameter estimation for an ergodic diffusion with the symmetric scaled Student invariant distribution, where the spectral representation of the transition density is given in terms of the finite number of polynomial eigenfunctions (Routh–Romanovski polynomials) and absolutely continuous spectrum of the negative infinitesimal generator of observed diffusion. We prove the consistency and asymptotic normality of the proposed estimators and, based on the Stein equation for Student diffusion, consider the statistical test for the Student distributional assumptions
We consider the problem of the estimation of the invariant distribution function of an ergodic diffu...
The problem of nonparametric invariant density function estimation of an ergodic diffusion process i...
We analyse spectral properties of an ergodic heavy-tailed diffusion with the Fisher–Snedecor invaria...
We consider the problem of parameter estimation for an ergodic diffusion with the symmetric scaled S...
We consider the problem of parameter estimation for an ergodic diffusion with reciprocal gamma invar...
We consider the problem of parameter estimation for an ergodic diffusion with Fisher–Snedecor invari...
We present a review of several results concerning invariant density estimation by observations of er...
We present a review of several results concerning invariant density estimation by observations of er...
We consider the problem of testing the hypothesis on marginal distribution of ergodic diffusion with...
This PhD thesis presents some new results on spectral properties and statistical analysis of ergodic...
We consider ergodic diffusion processes for which the class of invariant measures is an exponential ...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
For ergodic diffusion processes, we study kernel-type estimators for the invariant density, its deri...
Two classes of unbiased estimators of the density function of ergodic distribution for the diffusion...
In this thesis we consider theoretical and practical aspects of conducting inference on data coming ...
We consider the problem of the estimation of the invariant distribution function of an ergodic diffu...
The problem of nonparametric invariant density function estimation of an ergodic diffusion process i...
We analyse spectral properties of an ergodic heavy-tailed diffusion with the Fisher–Snedecor invaria...
We consider the problem of parameter estimation for an ergodic diffusion with the symmetric scaled S...
We consider the problem of parameter estimation for an ergodic diffusion with reciprocal gamma invar...
We consider the problem of parameter estimation for an ergodic diffusion with Fisher–Snedecor invari...
We present a review of several results concerning invariant density estimation by observations of er...
We present a review of several results concerning invariant density estimation by observations of er...
We consider the problem of testing the hypothesis on marginal distribution of ergodic diffusion with...
This PhD thesis presents some new results on spectral properties and statistical analysis of ergodic...
We consider ergodic diffusion processes for which the class of invariant measures is an exponential ...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
For ergodic diffusion processes, we study kernel-type estimators for the invariant density, its deri...
Two classes of unbiased estimators of the density function of ergodic distribution for the diffusion...
In this thesis we consider theoretical and practical aspects of conducting inference on data coming ...
We consider the problem of the estimation of the invariant distribution function of an ergodic diffu...
The problem of nonparametric invariant density function estimation of an ergodic diffusion process i...
We analyse spectral properties of an ergodic heavy-tailed diffusion with the Fisher–Snedecor invaria...