Joint State-parameter Estimation
Joint State-Parameter Estimation is a data assimilation method that simultaneously infers the evolving state variables and unknown or uncertain model parameters of a dynamical system by optimally combining observational data with a numerical model, distinguishing itself from sequential or decoupled estimation approaches through its integrated treatment of state and parameter uncertainties within a unified statistical framework.
209
Publications
12.4K
Citations
552
Authors
297
Institutions
Publications per year
2017–2026
73
Parents
209
1–5 of 209
552
11
h-index
7
h-index
5
h-index
4
h-index
King Abdullah University of Science and Technology, Saudi Arabia
4 publications · 260 citations
4
h-index
1–5 of 552
297
Jiangnan University
Wuxi, China
11 h-index
26 publications
2.1K citations

King Abdulaziz University
Jeddah, Saudi Arabia
7 h-index
12 publications
734 citations
Qingdao University of Science and Technology
Qingdao, China
6 h-index
6 publications
458 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
5 h-index
7 publications
261 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
13 publications
378 citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
12 publications
241 citations
ETH Zurich
Zurich, Switzerland
5 h-index
10 publications
830 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
5 h-index
13 publications
668 citations
1–8 of 297
9 publications · 436 citations
9
h-index
MSSP · 8 publications · 423 citations
8
h-index
6 publications · 935 citations
6
h-index
6 publications · 1.2K citations
6
h-index
5 publications · 209 citations
5
h-index
1–5