Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples

DOI10.1073/pnas.1214559110zbMath1292.62142OpenAlexW1977944315WikidataQ37088690 ScholiaQ37088690MaRDI QIDQ5171017

Anna Kuchina, Gürol M. Süel, Ishanu Chattopadhyay, Hod Lipson

Publication date: 25 July 2014

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1214559110

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Ecology (92D40)

Related Items (3)

Reconstructing the hidden states in time course data of stochastic models ⋮ \(S\)-leaping: an adaptive, accelerated stochastic simulation algorithm, bridging \(\tau\)-leaping and \(R\)-leaping ⋮ Identifiability of stochastically modelled reaction networks

Cites Work

• Rate estimation in partially observed Markov jump processes with measurement errors
• Moment closure based parameter inference of stochastic kinetic models
• Statistical properties of the Hough transform estimator in the presence of measurement errors
• Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources

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