In this note we extend the methosd suggested by Kessler and Sorensen (1999) for estimating parameters in diffusions observed at discrete time intervals to a rather large class of perturbed diffusions. As an application, we present a test for assessing the membership of a diffusion into a given polynomial class
We consider ergodic diffusion processes for which the class of invariant measures is an exponential ...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
AbstractAn approximate martingale estimating function with an eigenfunction is proposed for an estim...
We propose a novel method for drift estimation of multiscale diffusion processes when a sequence of ...
This thesis is composed of two parts. The first part is devoted to inference for discretely observed...
In this PhD. Thesis we focus on diffusion models. Diffusions are very attractive and widely applied ...
In this article, general estimating functions for ergodic diffusions sam-pled at high frequency with...
In this PhD. Thesis we focus on diffusion models. Diffusions are very attractive and widely applied ...
In this paper we present a new procedure for the estimation of diffusion processes from discretely s...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
We consider the inference problem for parameters in stochastic differential equation models from dis...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We develop infinitesimally robust statistical procedures for general diffusion processes. We first p...
We consider ergodic diffusion processes for which the class of invariant measures is an exponential ...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
AbstractAn approximate martingale estimating function with an eigenfunction is proposed for an estim...
We propose a novel method for drift estimation of multiscale diffusion processes when a sequence of ...
This thesis is composed of two parts. The first part is devoted to inference for discretely observed...
In this PhD. Thesis we focus on diffusion models. Diffusions are very attractive and widely applied ...
In this article, general estimating functions for ergodic diffusions sam-pled at high frequency with...
In this PhD. Thesis we focus on diffusion models. Diffusions are very attractive and widely applied ...
In this paper we present a new procedure for the estimation of diffusion processes from discretely s...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
We consider the inference problem for parameters in stochastic differential equation models from dis...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We develop infinitesimally robust statistical procedures for general diffusion processes. We first p...
We consider ergodic diffusion processes for which the class of invariant measures is an exponential ...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...