The estimation of linearized drift for stochastic differential equations with equilibrium points is considered. It is proved that the linearized drift matrix can be estimated efficiently if the initial condition for the system is chosen close enough to the equilibrium point. Some bounds for initial conditions providing the asymptotical efficiency of estimators are found
The problem of determining a periodic Lipschitz vector fieldb=(b1,...,bd) from an observed trajector...
Local stochastic stability property used to prove stability and existence of diffusions with rapidly...
AbstractThis paper is concerned with a class of stochastic differential equations which arises by ad...
The estimation of the linearized drift for stochastic differential equations with equilibrium points...
We study the maximum likelihood estimator of the drift parameters of a stochastic differential equat...
We study the maximum likehood estimator and least squares estimator for drift parameters of nonlinea...
There is a lack of appropriate replication of the asymptotical behaviour of stationary stochastic di...
Abstract. The paper studies the almost sure asymptotic convergence to zero of solutions of perturbed...
We assume that the diffusion X satisfies a stochastic differential equation of the form: dXt=μ(Xt,θ)...
AbstractWe investigate mean-square asymptotic stability of equilibria in linear systems of stochasti...
AbstractThe problem of estimating the drift of a stochastic flow given Lagrangian observations is an...
We consider a nonparametric diffusion process whose drift and diffusion coefficients are nonparametr...
The problem of drift estimation for thesolution $X$ of a stochastic differential equation with L\'ev...
A simple and robust approach is proposed for the parametric estimation of scalar homogeneous stochas...
In this paper we establish some su cient conditions ensuring almost sure practical asymptotic stabil...
The problem of determining a periodic Lipschitz vector fieldb=(b1,...,bd) from an observed trajector...
Local stochastic stability property used to prove stability and existence of diffusions with rapidly...
AbstractThis paper is concerned with a class of stochastic differential equations which arises by ad...
The estimation of the linearized drift for stochastic differential equations with equilibrium points...
We study the maximum likelihood estimator of the drift parameters of a stochastic differential equat...
We study the maximum likehood estimator and least squares estimator for drift parameters of nonlinea...
There is a lack of appropriate replication of the asymptotical behaviour of stationary stochastic di...
Abstract. The paper studies the almost sure asymptotic convergence to zero of solutions of perturbed...
We assume that the diffusion X satisfies a stochastic differential equation of the form: dXt=μ(Xt,θ)...
AbstractWe investigate mean-square asymptotic stability of equilibria in linear systems of stochasti...
AbstractThe problem of estimating the drift of a stochastic flow given Lagrangian observations is an...
We consider a nonparametric diffusion process whose drift and diffusion coefficients are nonparametr...
The problem of drift estimation for thesolution $X$ of a stochastic differential equation with L\'ev...
A simple and robust approach is proposed for the parametric estimation of scalar homogeneous stochas...
In this paper we establish some su cient conditions ensuring almost sure practical asymptotic stabil...
The problem of determining a periodic Lipschitz vector fieldb=(b1,...,bd) from an observed trajector...
Local stochastic stability property used to prove stability and existence of diffusions with rapidly...
AbstractThis paper is concerned with a class of stochastic differential equations which arises by ad...