State-space Trajectory Modeling
State-Space Trajectory Modeling is a computational framework within trajectory inference that represents dynamic cellular processes as stochastic trajectories evolving over time in a latent state space, distinguishing itself by explicitly modeling the probabilistic transitions between hidden states to reconstruct temporal progression from cross-sectional data.
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2.4K
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148
Authors
83
Institutions
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2017–2026
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META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS
Ian D. Jonsen, Ransom A. Myers, Joanna Mills Flemming · Ecology · 2003 · 292 citations
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Virginia Tech
Blacksburg, United States
3 h-index
6 publications
434 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
10 publications
433 citations

University of Saskatchewan
Saskatoon, Canada
2 h-index
4 publications
260 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
168 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
292 citations
Dalhousie University
Halifax, Canada
2 h-index
6 publications
856 citations
University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
72 citations

University of Auckland
Auckland, New Zealand
2 h-index
5 publications
238 citations
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2 publications · 96 citations
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2 publications · 74 citations
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2 publications · 87 citations
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