Markov Multi-state Models
Markov Multi-State Models is a stochastic process model that describes the evolution of a system over time through a finite set of discrete states, governed by the Markov property which assumes that the future state depends only on the current state and not on the sequence of prior states.
314
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19.4K
Citations
1K
Authors
534
Institutions
Publications per year
2017–2026
88
Parents
314
Markov Models in Medical Decision Making
Frank A. Sonnenberg, J. Robert Beck · Medical Decision Making · 1993 · 2.4K citations
HTMD: High-Throughput Molecular Dynamics for Molecular Discovery
Stefan Doerr, M J Harvey, Frank Noé et al. · Journal of Chemical Theory and Computation · 2016 · 491 citations
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Hong Kong University of Science and Technology, Hong Kong SAR China
9 publications · 641 citations
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6
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Hong Kong University of Science and Technology, Hong Kong SAR China
5 publications · 167 citations
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534
Stanford University
Stanford, United States
17 h-index
65 publications
10K citations
Freie Universität Berlin
Berlin, Germany
14 h-index
31 publications
1.8K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
9 h-index
28 publications
1.1K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
9 h-index
26 publications
1.4K citations
Inserm
Paris, France
8 h-index
34 publications
2.2K citations

Zuse Institute Berlin
Berlin, Germany
6 h-index
12 publications
1.1K citations
University of Chicago
Chicago, United States
6 h-index
9 publications
380 citations
University of California San Diego
San Diego, United States
6 h-index
15 publications
747 citations
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20 publications · 1.5K citations
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JCTC · 14 publications · 1.6K citations
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9 publications · 399 citations
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8 publications · 835 citations
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7 publications · 202 citations
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