Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty

Journal of Chemical Physics

Volumn 137, Issue 13, 2012, Pages

  Bowman, Gregory R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATIVE CLUSTERING; BAYESIAN MODEL; CLOSED-FORM EXPRESSION; COARSE GRAINING; FINITE SAMPLING; INFORMATION LOSS; JENSEN-SHANNON DIVERGENCE; MARKOV MODEL; MARKOV STATE MODELS; MASTER EQUATIONS; MESOSCALE MODEL; MODEL PARAMETERS; MOLECULAR SYSTEMS; RELATIVE ENTROPY; SMALL SYSTEMS; STATISTICAL UNCERTAINTY;

ALGORITHMS; BAYESIAN NETWORKS; IMPORTANCE SAMPLING; INFORMATION THEORY; MARKOV PROCESSES; SAMPLING;

UNCERTAINTY ANALYSIS;

PROTEIN;

ALGORITHM; ARTICLE; CHEMISTRY; KINETICS; PROBABILITY; THERMODYNAMICS; UNCERTAINTY;

ALGORITHMS; KINETICS; MARKOV CHAINS; PROTEINS; THERMODYNAMICS; UNCERTAINTY;

EID: 84870182404     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.4755751     Document Type: Article

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