This paper is concerned with the approximation of the maximum likelihood estimator of parameter in the nonlinear drift coefficient of an It O^ stochastic differential equation. Trapezoidal rule of approximation and rectangular rule of approximation have been compared when the observations are made at regularly spaced discrete but dense time points
AbstractThe maximum likelihood estimation of the unknown parameter of a diffusion process based on a...
The paper is concerned with the study of the rate of convergence of the distribution of a maximum li...
We study the problem of parameter estimation using maximum likelihood for fast/slow systems of stoch...
This paper is concerned with the approximation of the maximum likelihood estimator of parameter in t...
AbstractThe maximum likelihood estimation of the unknown parameter of a diffusion process based on a...
The maximum likelihood estimation of the unknown parameter of a diffusion process based on an approx...
International audienceWe study the maximum likelihood estimator of the drift parameters of a stochas...
We study the maximum likelihood estimator of the drift parameters of a stochastic differential equat...
International audienceWe study the maximum likelihood estimator of the drift parameters of a stochas...
We present an approximate Maximum Likelihood estimator for univariate Ito stochastic differential eq...
In this paper statistical properties of estimators of drift parameters for diffusion processes are s...
Complex systems are characterized by a huge number of degrees of freedom often interacting in a nonl...
Let be the unknown parameter in the drift coefficient of a diffusion process described by a linear h...
Let be the unknown parameter in the drift coefficient of a diffusion process described by a linear h...
The transition density of a diffusion process does not admit an explicit expression in general, whic...
AbstractThe maximum likelihood estimation of the unknown parameter of a diffusion process based on a...
The paper is concerned with the study of the rate of convergence of the distribution of a maximum li...
We study the problem of parameter estimation using maximum likelihood for fast/slow systems of stoch...
This paper is concerned with the approximation of the maximum likelihood estimator of parameter in t...
AbstractThe maximum likelihood estimation of the unknown parameter of a diffusion process based on a...
The maximum likelihood estimation of the unknown parameter of a diffusion process based on an approx...
International audienceWe study the maximum likelihood estimator of the drift parameters of a stochas...
We study the maximum likelihood estimator of the drift parameters of a stochastic differential equat...
International audienceWe study the maximum likelihood estimator of the drift parameters of a stochas...
We present an approximate Maximum Likelihood estimator for univariate Ito stochastic differential eq...
In this paper statistical properties of estimators of drift parameters for diffusion processes are s...
Complex systems are characterized by a huge number of degrees of freedom often interacting in a nonl...
Let be the unknown parameter in the drift coefficient of a diffusion process described by a linear h...
Let be the unknown parameter in the drift coefficient of a diffusion process described by a linear h...
The transition density of a diffusion process does not admit an explicit expression in general, whic...
AbstractThe maximum likelihood estimation of the unknown parameter of a diffusion process based on a...
The paper is concerned with the study of the rate of convergence of the distribution of a maximum li...
We study the problem of parameter estimation using maximum likelihood for fast/slow systems of stoch...