Fixed-interval Smoothing
Fixed-Interval Smoothing is a Bayesian filtering method that estimates the posterior distribution of a system's state over a complete time interval using all available observations within that interval, distinguishing it from filtering and prediction by incorporating future measurements to refine past state estimates.
110
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4.6K
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227
Authors
151
Institutions
Publications per year
2017–2026
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Peter C. Young, Diego J. Pedregal · Journal of Forecasting · 1999 · 316 citations
Mika P. Tarvainen, J. Kalervo Hiltunen, Perttu Ranta-aho et al. · IEEE Transactions on Biomedical Engineering · 2004 · 132 citations
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Stanford University
Stanford, United States
4 h-index
5 publications
175 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
6 publications
744 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
128 citations

Australian National University
Canberra, Australia
4 h-index
3 publications
100 citations

Shizuoka University
Shizuoka, Japan
4 h-index
4 publications
62 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
9 publications
278 citations

Harbin Engineering University
Harbin, China
3 h-index
8 publications
565 citations

Kagoshima University
Kagoshima, Japan
3 h-index
3 publications
32 citations
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17 publications · 819 citations
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12 publications · 504 citations
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4 publications · 188 citations
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