We consider the problem of optimal filtering of two dimensional diffusion process measured in a noisy channel. We approximate the solution of Zakai equation for the two dimensional process by a solution of Zakai equation for one dimensional process for two models. The first one is fast and slow variables, that is where one element of the process changes much more rapidly than the second one. The second model is the quasi-deterministic case for which the fast element has a small diffusion term. In both cases simple approximated equations for the filtering problem are given that make numerical solution simpler
: We propose to study the sensitivity of the optimal filter to its initialization, by looking at the...
State or signal estimation of stochastic systems based on measurement data is an important problem i...
A splitting-up approximation is introduced for diffusion processes, based on the successive composit...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
A nonlinear filtering problem with delays in the state and observation equations is considered. The ...
Filtering and identification problems of partially observable stochastic dynamical systems has been ...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
Abstract. The asymptotic behavior of a nonlinear continuous time filtering problem is studied when t...
In this paper we solve asymptotically Kushner's equation for the conditional probability density fun...
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 ...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
The asymptotic behavior as a small parameter EPSILON --> 0 is investigated for one dimensional nonli...
: We propose to study the sensitivity of the optimal filter to its initialization, by looking at the...
State or signal estimation of stochastic systems based on measurement data is an important problem i...
A splitting-up approximation is introduced for diffusion processes, based on the successive composit...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
A nonlinear filtering problem with delays in the state and observation equations is considered. The ...
Filtering and identification problems of partially observable stochastic dynamical systems has been ...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
Abstract. The asymptotic behavior of a nonlinear continuous time filtering problem is studied when t...
In this paper we solve asymptotically Kushner's equation for the conditional probability density fun...
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 ...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
The asymptotic behavior as a small parameter EPSILON --> 0 is investigated for one dimensional nonli...
: We propose to study the sensitivity of the optimal filter to its initialization, by looking at the...
State or signal estimation of stochastic systems based on measurement data is an important problem i...
A splitting-up approximation is introduced for diffusion processes, based on the successive composit...