State Space Imputation
State Space Imputation is a missing data imputation method that operates within a state space model framework, distinguishing itself by jointly estimating latent system states and parameters through recursive filtering and smoothing techniques to reconstruct missing observations in time series data.
13
Publications
909
Citations
51
Authors
26
Institutions
Publications per year
2017–2026
9
Parents
13
1–5 of 13
51
2
h-index
1
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1
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1
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1–5 of 51
26
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
578 citations

Beijing Institute of Technology
Beijing, China
2 h-index
6 publications
2K citations
Beijing Institute of Big Data Research
Beijing, China
1 h-index
1 publications
29 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
1 publications
28 citations
IBM Research (China)
Beijing, China
1 h-index
1 publications
428 citations

Huazhong Agricultural University
Wuhan, China
1 h-index
3 publications
30 citations
University of Technology Malaysia
Johor Bahru, Malaysia
1 h-index
2 publications
64 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
428 citations
1–8 of 26
2 publications · 143 citations
2
h-index
1 publications · 19 citations
1
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1 publications · 20 citations
1
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1 publications · 150 citations
1
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1 publications · 428 citations
1
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1–5