In this work a family of stochastic differential equations whose solutions are multidimensional diffusion-type (non necessarily markovian) processes is considered, and the estimation of a parametric vector ? which relates the coefficients is studied. The conditions for the existence of the likelihood function are proved and the estimator is obtained by continuously observing the process. An application for Diffusion Branching Processes is given. This problem has been studied in some special cases by Brown and Hewitt (1975), Liptser and Shiryayev (1978) and Sorensen (1983)
This thesis considers the problem of likelihood- based parameter estimation for time-homogeneous jum...
Estimation and Model Validation of Diffusion Processes Abstract The main motivation for this thesis ...
This paper introduces a family of recursively defined estimators of the parameters of a diffusion pr...
In this work a family of stochastic differential equations whose solutions are multidimensional diff...
A simple branching diffusion process is given as an elementary model of spatial evolution. A paramet...
AbstractConsider a simple branching diffusion process, which is a branching process in which the ind...
Consider a simple branching diffusion process, which is a branching process in which the individuals...
We discuss a general likelihood formula for the estimation of parameters in diffusion processes. The...
This paper considers the parametric estimation problem for continuous-time stochastic processes desc...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
Parameter estimation problems of diffusion models are discussed. The problems of maximum likelihood ...
AbstractA simple branching diffusion process is given as an elementary model of spatial evolution. A...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
AbstractBy a (G, F, h) age-and-position dependent branching process we mean a process in which indiv...
AbstractConsider a simple branching diffusion process, which is a branching process in which the ind...
This thesis considers the problem of likelihood- based parameter estimation for time-homogeneous jum...
Estimation and Model Validation of Diffusion Processes Abstract The main motivation for this thesis ...
This paper introduces a family of recursively defined estimators of the parameters of a diffusion pr...
In this work a family of stochastic differential equations whose solutions are multidimensional diff...
A simple branching diffusion process is given as an elementary model of spatial evolution. A paramet...
AbstractConsider a simple branching diffusion process, which is a branching process in which the ind...
Consider a simple branching diffusion process, which is a branching process in which the individuals...
We discuss a general likelihood formula for the estimation of parameters in diffusion processes. The...
This paper considers the parametric estimation problem for continuous-time stochastic processes desc...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
Parameter estimation problems of diffusion models are discussed. The problems of maximum likelihood ...
AbstractA simple branching diffusion process is given as an elementary model of spatial evolution. A...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
AbstractBy a (G, F, h) age-and-position dependent branching process we mean a process in which indiv...
AbstractConsider a simple branching diffusion process, which is a branching process in which the ind...
This thesis considers the problem of likelihood- based parameter estimation for time-homogeneous jum...
Estimation and Model Validation of Diffusion Processes Abstract The main motivation for this thesis ...
This paper introduces a family of recursively defined estimators of the parameters of a diffusion pr...