8 citations · 9 across the 5 of their papers we have counts for
5 papers
Distribution approximations for the chemical master equation: comparison of the method of moments and the system size expansion
Alexander Andreychenko, Luca Bortolussi, Ramon Grima +2
The stochastic nature of chemical reactions involving randomly fluctuating population sizes has lead to a growing research interest in discrete-state stochastic models and their an…
Modeling of Resilience Properties in Oscillatory Biological Systems using Parametric Time Petri Nets, Supplementary Information
Alexander Andreychenko, Morgan Magnin, Katsumi Inoue
Automated verification of living organism models allows us to gain previously unknown knowledge about underlying biological processes. In this paper, we show the benefits to use pa…
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…