AbstractWe consider a nonlinear filtering problem for a state processXin a Hilbert spaceH, given a finite dimensional observation processY. We look for solutions of the corresponding filtering equations, having densities with respect to a Gaussian reference measure inH. We derive the equations for the conditional densities and prove that they have solutions. We can allow correlated noise in the state and observation equations, provided additional assumptions hold
We consider measurements from possibly zero-mean stochastic processes in a nonlinear filtering frame...
In this paper, we study filtering of multiscale dynamical systems with model error arising from lim-...
We consider the filtering problem for partially observable stochastic processes (Xn; Yn), solutions...
In this paper we consider a nonlinear filtering problem with an unbounded observation coefficient, c...
Filtering for Stochastic Evolution Equations Vít Kubelka Doctoral thesis Abstract Linear filtering p...
In this paper we consider the continuous--time nonlinear filtering problem, which has an infinite--d...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
: We consider the problem of estimating the state of a diffusion process, based on discrete time obs...
We consider a discrete-time linear system with correlated Gaussian plant and observation noises and ...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
This paper deals with the problem of estimating a state process, the measurements of which are corru...
We consider a class of non-linear filtering problems, where the observation model is given by a Gaus...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
We consider measurements from possibly zero-mean stochastic processes in a nonlinear filtering frame...
In this paper, we study filtering of multiscale dynamical systems with model error arising from lim-...
We consider the filtering problem for partially observable stochastic processes (Xn; Yn), solutions...
In this paper we consider a nonlinear filtering problem with an unbounded observation coefficient, c...
Filtering for Stochastic Evolution Equations Vít Kubelka Doctoral thesis Abstract Linear filtering p...
In this paper we consider the continuous--time nonlinear filtering problem, which has an infinite--d...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
: We consider the problem of estimating the state of a diffusion process, based on discrete time obs...
We consider a discrete-time linear system with correlated Gaussian plant and observation noises and ...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
This paper deals with the problem of estimating a state process, the measurements of which are corru...
We consider a class of non-linear filtering problems, where the observation model is given by a Gaus...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
We consider measurements from possibly zero-mean stochastic processes in a nonlinear filtering frame...
In this paper, we study filtering of multiscale dynamical systems with model error arising from lim-...
We consider the filtering problem for partially observable stochastic processes (Xn; Yn), solutions...