The probabilistic distribution of local time of a homogeneous transient dif- fusion process is found. To this end, a second order differential equation corre- sponding to the process generator is considered, and properties of its monotone solutions as functions of a parameter are established with the help of analytic tools. At the same time a probabilistic representation of monotone solutions are used. Combining the techniques of differential equations theory and stochastic processes theory allowed to identify the parameter of exponential distribution of the local time
Parameter estimation in stochastic differential equations and stochastic partial differential equati...
We propose a functional estimation procedure for homogeneous stochastic differential equa-tions base...
Data available on continuous-time diffusions are always sampled discretely in time. In most cases, t...
In the Thesis the problem of estimating an unknown parameter in a stochastic dif- ferential equation...
We consider inference of the parameters of the diffusion term for Cox-Ingersoll-Ross and similar pro...
Estimation of parameters in diusion models is usually based on observations of the process at discr...
We propose a functional estimation procedure for homogeneous stochastic differential equations based...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
© Springer-Verlag Berlin Heidelberg 2013. All rights are reserved. Diffusion processes are a pr...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
In this paper, we propose some algorithms for the simulation of the distribution of certain diffusio...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
Data available on continuos-time diffusions are always sampled discretely in time. In most cases, th...
In this work a family of stochastic differential equations whose solutions are multidimensional diff...
Parameter estimation in stochastic differential equations and stochastic partial differential equati...
We propose a functional estimation procedure for homogeneous stochastic differential equa-tions base...
Data available on continuous-time diffusions are always sampled discretely in time. In most cases, t...
In the Thesis the problem of estimating an unknown parameter in a stochastic dif- ferential equation...
We consider inference of the parameters of the diffusion term for Cox-Ingersoll-Ross and similar pro...
Estimation of parameters in diusion models is usually based on observations of the process at discr...
We propose a functional estimation procedure for homogeneous stochastic differential equations based...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
A review is given of parametric estimation methods for discretely sampled mul- tivariate diffusion p...
© Springer-Verlag Berlin Heidelberg 2013. All rights are reserved. Diffusion processes are a pr...
: A new type of martingale estimating function is proposed for inference about classes of diffusion ...
In this paper, we propose some algorithms for the simulation of the distribution of certain diffusio...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
Data available on continuos-time diffusions are always sampled discretely in time. In most cases, th...
In this work a family of stochastic differential equations whose solutions are multidimensional diff...
Parameter estimation in stochastic differential equations and stochastic partial differential equati...
We propose a functional estimation procedure for homogeneous stochastic differential equa-tions base...
Data available on continuous-time diffusions are always sampled discretely in time. In most cases, t...