David F. Anderson

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2003-2005 Duke University, Durham, NC 
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Jonathan C. Mattingly grad student 2003-2005 Duke
 (Stochastic perturbations of biochemical reaction systems.)
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Anderson DF, Schnoerr D, Yuan C. (2020) Time-dependent product-form Poisson distributions for reaction networks with higher order complexes. Journal of Mathematical Biology
Anderson DF, Cappelletti D, Kim J. (2020) Stochastically modeled weakly reversible reaction networks with a single linkage class Journal of Applied Probability. 57: 792-810
Cappelletti D, Ortiz-Muñoz A, Anderson DF, et al. (2020) Stochastic Chemical Reaction Networks for Robustly Approximating Arbitrary Probability Distributions Theoretical Computer Science. 801: 64-95
Anderson DF, Cappelletti D, Kim J, et al. (2020) Tier structure of strongly endotactic reaction networks Stochastic Processes and Their Applications
Anderson DF, Brunner JD, Craciun G, et al. (2020) On classes of reaction networks and their associated polynomial dynamical systems Journal of Mathematical Chemistry. 1-31
Anderson DF, Cappelletti D. (2019) Discrepancies between extinction events and boundary equilibria in reaction networks. Journal of Mathematical Biology
Anderson DF, Nguyen TD. (2019) Results on stochastic reaction networks with non-mass action kinetics. Mathematical Biosciences and Engineering : Mbe. 16: 2118-2140
Anderson DF, Higham DJ, Leite SC, et al. (2019) On Constrained Langevin Equations and (Bio)Chemical Reaction Networks Multiscale Modeling & Simulation. 17: 1-30
Anderson DF, Cappelletti D, Koyama M, et al. (2018) Non-explosivity of Stochastically Modeled Reaction Networks that are Complex Balanced. Bulletin of Mathematical Biology
Plesa T, Zygalakis KC, Anderson DF, et al. (2018) Noise control for molecular computing. Journal of the Royal Society, Interface. 15
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