39 citations · 56 across the 6 of their papers we have counts for
6 papers
Approximate Numerical Integration of the Chemical Master Equation for Stochastic Reaction Networks
Linar Mikeev, Werner Sandmann
Numerical solution of the chemical master equation for stochastic reaction networks typically suffers from the state space explosion problem due to the curse of dimensionality and…
Model Reconstruction for Moment-based Stochastic Chemical Kinetics
Andreychenko Alexander, Mikeev Linar, Wolf Verena
Based on the theory of stochastic chemical kinetics, the inherent randomness and stochasticity of biochemical reaction networks can be accurately described by discrete-state contin…
Reconstruction of Multimodal Distributions for Hybrid Moment-based Chemical Kinetics, Supporting Information
Alexander Andreychenko, Linar Mikeev, Verena Wolf
The stochastic dynamics of biochemical reaction networks can be accurately described by discrete-state Markov processes where each chemical reaction corresponds to a state transiti…
Maximum Entropy Reconstruction for Discrete Distributions with Unbounded Support
Alexander Andreychenko, Linar Mikeev, Verena Wolf
The classical problem of moments is addressed by the maximum entropy approach for one-dimensional discrete distributions. The numerical technique of adaptive support approximation…
Parameter Identification for Markov Models of Biochemical Reactions
Aleksandr Andreychenko, Linar Mikeev, David Spieler +1
We propose a numerical technique for parameter inference in Markov models of biological processes. Based on time-series data of a process we estimate the kinetic rate constants by…
Hybrid Numerical Solution of the Chemical Master Equation
Thomas A. Henzinger, Maria Mateescu, Linar Mikeev +1
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the s…