Bayesian framework for modeling diffusion processes with nonlinear drift based on nonlinear and incomplete observations

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 83, Issue 3, 2011, Pages

  Wu, Hao ^a   Noé, Frank ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORKS; COMPLEX ENERGY LANDSCAPES; DIFFUSION CONSTANT; DIFFUSION MATRICES; DIFFUSION PROCESS; DIFFUSIVE MOTIONS; EXPERIMENTAL OBSERVATION; FLUORESCENCE QUENCHING; GIBBS SAMPLING; HIGH RESOLUTION; INCOMPLETE OBSERVATION; LIGHT MICROSCOPY; MAXIMUM PENALIZED LIKELIHOOD; MOLECULAR CONFORMATION; NONEQUILIBRIUM MEASUREMENT; NONLINEAR DRIFTS; NUMERICAL SIMULATION; POTENTIAL FUNCTION; RESONANCE ENERGY TRANSFER; SINGLE CELLS; SINGLE EVENT; TIME AND SPACE; UNCERTAINTY ESTIMATES;

BAYESIAN NETWORKS; ENERGY TRANSFER; ESTIMATION; EXPERIMENTS; MAXIMUM LIKELIHOOD; MULTIPHOTON PROCESSES; OPTICAL TWEEZERS; UNCERTAINTY ANALYSIS;

DIFFUSION;

EID: 79953144426     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.83.036705     Document Type: Article

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