The explicit solution of the discrete time filtering problems with exponential criteria for a general Gaussian signal is obtained through an approach based on a conditional Cameron-Martin type formula. This key formula is derived for conditional expectations of exponentials of some quadratic forms of Gaussian sequences. The formula involves conditional expectations and conditional covariances in some auxiliary optimal risk-neutral filtering problem which is used in the proof. Closed form recursions of Volterra type for these ingredients are provided. Particular cases for which the results can be further elaborated are investigated
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means...
A Bayes type formula is derived for the non-linear filter where the observation contains both genera...
The problem of constructing functional optimal observers (filters) for stochastic control systems wi...
International audienceThe explicit solution of the filtering problem with exponential criteria for a...
The optimal filtering problem for multidimensional continuous possibly non-Markovian, Gaussian proce...
In this paper, we consider the problem of risk-sensitive filtering for continuous-time stochastic li...
Published January 1995Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consigli...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
Abstract This paper investigates the Lp filtering problem for linear dynamic systems. The main objec...
We consider a discrete-time linear system with correlated Gaussian plant and observation noises and ...
In this paper we develop and analyze real-time and accurate filters for nonlinear filtering problems...
An application of the theory of conditionally Gaussian random processes to filtering and stochastic ...
AbstractIn this paper we prove exponential asymptotic stability for discrete-time filters for signal...
In this paper, a factor graph approach is employed to investigate the recursive filtering problem fo...
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed ...
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means...
A Bayes type formula is derived for the non-linear filter where the observation contains both genera...
The problem of constructing functional optimal observers (filters) for stochastic control systems wi...
International audienceThe explicit solution of the filtering problem with exponential criteria for a...
The optimal filtering problem for multidimensional continuous possibly non-Markovian, Gaussian proce...
In this paper, we consider the problem of risk-sensitive filtering for continuous-time stochastic li...
Published January 1995Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consigli...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
Abstract This paper investigates the Lp filtering problem for linear dynamic systems. The main objec...
We consider a discrete-time linear system with correlated Gaussian plant and observation noises and ...
In this paper we develop and analyze real-time and accurate filters for nonlinear filtering problems...
An application of the theory of conditionally Gaussian random processes to filtering and stochastic ...
AbstractIn this paper we prove exponential asymptotic stability for discrete-time filters for signal...
In this paper, a factor graph approach is employed to investigate the recursive filtering problem fo...
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed ...
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means...
A Bayes type formula is derived for the non-linear filter where the observation contains both genera...
The problem of constructing functional optimal observers (filters) for stochastic control systems wi...