In this work we derive a relationship between tbe exact fixed-interval smoothed moments and those obtained from an arbitrarily initialized smoother. Combining this result witbh a conventional smoother we obtain a new algoritbm with exact initial conditions, that can be applied to stationary, nonstationary or partially nonstationary systems, with deterministic and/or stochastic inputs. Besides an easy analytical derivation, other advantages of this smoother are its computational efficiency and numerical stability
The smoothing filter is appropriately modified for state space models with an unknown initial condit...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...
Copyright © 2002 IEEEWe consider the problem of fixed-interval smoothing of a continuous-time partia...
AbstractIt is shown that the fixed interval smoothing algorithm can be derived as a direct and simpl...
© Copyright 2005 IEEEIn this article we compute the exact smoothing algorithm for discrete-time Gaus...
International audienceIn this note we revisit fixed-interval Kalman like smoothing algorithms. We ha...
This letter presents the development of novel iterated filters and smoothers that only require speci...
International audienceFixed-interval Bayesian smoothing in state-space systems has been addressed fo...
AbstractIt is shown that the derivation of the fixed interval smoothing formulas by Osborne and Prva...
This letter presents the development of novel iterated filters and smoothers that only require speci...
AbstractIn this work, we derive exact and approximate expressions for the conditional mean and varia...
A variety of time series signal extraction/smoothing problems are considered from a Bayesian “smooth...
An algorithm is presented which provides a complete solution to the optimal estimation problem for t...
AbstractThe paper identifies the class of stationary processes on an interval which share a given st...
The smoothing filter is appropriately modified for state space models with an unknown initial condit...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...
Copyright © 2002 IEEEWe consider the problem of fixed-interval smoothing of a continuous-time partia...
AbstractIt is shown that the fixed interval smoothing algorithm can be derived as a direct and simpl...
© Copyright 2005 IEEEIn this article we compute the exact smoothing algorithm for discrete-time Gaus...
International audienceIn this note we revisit fixed-interval Kalman like smoothing algorithms. We ha...
This letter presents the development of novel iterated filters and smoothers that only require speci...
International audienceFixed-interval Bayesian smoothing in state-space systems has been addressed fo...
AbstractIt is shown that the derivation of the fixed interval smoothing formulas by Osborne and Prva...
This letter presents the development of novel iterated filters and smoothers that only require speci...
AbstractIn this work, we derive exact and approximate expressions for the conditional mean and varia...
A variety of time series signal extraction/smoothing problems are considered from a Bayesian “smooth...
An algorithm is presented which provides a complete solution to the optimal estimation problem for t...
AbstractThe paper identifies the class of stationary processes on an interval which share a given st...
The smoothing filter is appropriately modified for state space models with an unknown initial condit...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...
International audienceThis paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-...