The estimation of the 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 ensuring the asymptotical efficiency of the estimator are found
In this paper we consider the drift estimation problem for a general differential equation driven by...
The problem of drift estimation for thesolution $X$ of a stochastic differential equation with L\'ev...
We consider parameter estimation for linear stochastic differential equations with independent exper...
The estimation of linearized drift for stochastic differential equations with equilibrium points is ...
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...
We introduce a nonparametric approach for estimating drift functions in systems of stochastic differ...
A stochastic differential equationdriven by a Brownian motion where the dispersion is determined by ...
Estimation of parameters in the drift and diffusion terms of stochastic differential equations invol...
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes estimator of ...
AbstractThe problem of estimating the drift of a stochastic flow given Lagrangian observations is an...
We study statistical estimation of linear parameters in the drift coefficient of stochastic differen...
AbstractWe investigate mean-square asymptotic stability of equilibria in linear systems of stochasti...
This paper is concerned with the approximation of the maximum likelihood estimator of parameter in t...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
In this paper we consider the drift estimation problem for a general differential equation driven by...
The problem of drift estimation for thesolution $X$ of a stochastic differential equation with L\'ev...
We consider parameter estimation for linear stochastic differential equations with independent exper...
The estimation of linearized drift for stochastic differential equations with equilibrium points is ...
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...
We introduce a nonparametric approach for estimating drift functions in systems of stochastic differ...
A stochastic differential equationdriven by a Brownian motion where the dispersion is determined by ...
Estimation of parameters in the drift and diffusion terms of stochastic differential equations invol...
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes estimator of ...
AbstractThe problem of estimating the drift of a stochastic flow given Lagrangian observations is an...
We study statistical estimation of linear parameters in the drift coefficient of stochastic differen...
AbstractWe investigate mean-square asymptotic stability of equilibria in linear systems of stochasti...
This paper is concerned with the approximation of the maximum likelihood estimator of parameter in t...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
In this paper we consider the drift estimation problem for a general differential equation driven by...
The problem of drift estimation for thesolution $X$ of a stochastic differential equation with L\'ev...
We consider parameter estimation for linear stochastic differential equations with independent exper...