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3 - Filters and Smoothers

from Part I - General Background

Published online by Cambridge University Press:  22 September 2022

Seon Ki Park
Affiliation:
Ewha Womans University, Republic of Korea
Milija Zupanski
Affiliation:
Colorado State University
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Summary

The estimation task is classified as filtering, smoothing, and prediction, depending on when the estimation and the observation incorporation are made. Basic techniques of filtering and smoothing are introduced. Characteristics and formulations of various filters and smoothers are discussed, including the Kalman filter, extended Kalman filter, fixed-point smoother, fixed-lag smoother, and fixed-interval smoother. Bayesian perspectives of filtering and smoothing are also discussed, especially on joint smoother and marginal smoother.

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Publisher: Cambridge University Press
Print publication year: 2022

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