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David Schnoerr

Showing results (1-10 of 12) with videos related to

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Nature Communications|May 26, 2016
Cox process representation and inference for stochastic reaction-diffusion processesDavid Schnoerr, Ramon Grima, Guido Sanguinetti
The Journal of Chemical Physics|November 17, 2015
Comparison of different moment-closure approximations for stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon Grima
The Journal of Chemical Physics|September 1, 2014
Validity conditions for moment closure approximations in stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon Grima
The Journal of Chemical Physics|July 17, 2014
The complex chemical Langevin equationDavid Schnoerr, Guido Sanguinetti, Ramon Grima
Journal of Mathematical Biology|March 27, 2020
Time-dependent product-form Poisson distributions for reaction networks with higher order complexesDavid F Anderson, David Schnoerr, Chaojie Yuan
Physical Review Letters|December 9, 2017
Efficient Low-Order Approximation of First-Passage Time DistributionsDavid Schnoerr, Botond Cseke, Ramon Grima, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 8, 2021
Turing pattern design principles and their robustnessSean T Vittadello, Thomas Leyshon, David Schnoerr, et al.
Plos Computational Biology|November 5, 2019
Neural field models for latent state inference: Application to large-scale neuronal recordingsMichael E Rule, David Schnoerr, Matthias H Hennig, et al.
The Journal of Chemical Physics|April 17, 2020
Exactly solvable models of stochastic gene expressionLucy Ham, David Schnoerr, Rowan D Brackston, et al.
Cell Systems|November 29, 2019
A Comprehensive Network Atlas Reveals That Turing Patterns Are Common but Not RobustNatalie S Scholes, David Schnoerr, Mark Isalan, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature Communications|May 26, 2016
Cox process representation and inference for stochastic reaction-diffusion processesDavid Schnoerr, Ramon Grima, Guido Sanguinetti
The Journal of Chemical Physics|November 17, 2015
Comparison of different moment-closure approximations for stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon Grima
The Journal of Chemical Physics|September 1, 2014
Validity conditions for moment closure approximations in stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon Grima
The Journal of Chemical Physics|July 17, 2014
The complex chemical Langevin equationDavid Schnoerr, Guido Sanguinetti, Ramon Grima
Journal of Mathematical Biology|March 27, 2020
Time-dependent product-form Poisson distributions for reaction networks with higher order complexesDavid F Anderson, David Schnoerr, Chaojie Yuan
Physical Review Letters|December 9, 2017
Efficient Low-Order Approximation of First-Passage Time DistributionsDavid Schnoerr, Botond Cseke, Ramon Grima, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 8, 2021
Turing pattern design principles and their robustnessSean T Vittadello, Thomas Leyshon, David Schnoerr, et al.
Plos Computational Biology|November 5, 2019
Neural field models for latent state inference: Application to large-scale neuronal recordingsMichael E Rule, David Schnoerr, Matthias H Hennig, et al.
The Journal of Chemical Physics|April 17, 2020
Exactly solvable models of stochastic gene expressionLucy Ham, David Schnoerr, Rowan D Brackston, et al.
Cell Systems|November 29, 2019
A Comprehensive Network Atlas Reveals That Turing Patterns Are Common but Not RobustNatalie S Scholes, David Schnoerr, Mark Isalan, et al.
Pageof 2