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, Higham DJ, Sun Y. (2016) Multilevel Monte Carlo for stoch astic differential equations with small noise Siam Journal On Numerical Analysis. 54: 505-529
Anderson DF, Craciun G, Gopalkrishnan M, et al. (2015) Lyapunov Functions, Stationary Distributions, and Non-equilibrium Potential for Reaction Networks. Bulletin of Mathematical Biology. 77: 1744-67
Wolf ES, Anderson DF. (2015) Hybrid pathwise sensitivity methods for discrete stochastic models of chemical reaction systems. The Journal of Chemical Physics. 142: 034103
Anderson DF, Ermentrout B, Thomas PJ. (2015) Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics. Journal of Computational Neuroscience. 38: 67-82
Anderson DF, Enciso GA, Johnston MD. (2014) Stochastic analysis of biochemical reaction networks with absolute concentration robustness. Journal of the Royal Society, Interface / the Royal Society. 11: 20130943
Anderson DF, Higham DJ, Sun Y. (2014) Complexity of multilevel Monte Carlo Tau-leaping Siam Journal On Numerical Analysis. 52: 3106-3127
Anderson DF, Koyama M. (2014) An asymptotic relationship between coupling methods for stochastically modeled population processes Ima Journal of Numerical Analysis. 35: 1757-1778
Srivastava R, Anderson DF, Rawlings JB. (2013) Comparison of finite difference based methods to obtain sensitivities of stochastic chemical kinetic models. The Journal of Chemical Physics. 138: 074110
Wolf ES, Anderson DF. (2012) A finite difference method for estimating second order parameter sensitivities of discrete stochastic chemical reaction networks. The Journal of Chemical Physics. 137: 224112
Anderson DF, Koyama M. (2012) Weak error analysis of numerical methods for stochastic models of population processes Multiscale Modeling and Simulation. 10: 1493-1524
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