Add to ORKGAuthor for correspondence: Electronic supplementary material is available Tensor methods for parameter estimation and bifurcation analysis of stochastic Many cellular processes are influenced by stochastic fluctuations at the molecu-lar level, which are often modelled using stochastic simulation algorithmsa
The use of probabilistic methods in the biological sciences has been so well established by now that...
Stochastic analysis has a variety of applications to biological systems as well as physical and engi...
In many studies of dynamic systems, the stochastic aspects are as important as the dynamic. It is th...
Stochasticity (that is, randomness) is an inherent property of many biological systems. For example,...
We look at numerical methods for simulation of stochastic differential equations exhibiting volatili...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
Stochastic modelling of gene regulatory networks provides an indispensable tool for understanding ho...
This book develops the theory of continuous and discrete stochastic processes within the context of ...
Simple models of interacting agents can be formulated as jump Markov processes via suitably specifie...
International audienceThe evolution of the state of a single species/single substrate chemostat is u...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
AbstractStochastic approaches in systems biology are being used increasingly to model the heterogene...
This paper considers a stochastic model based on the homogeneous stochastic Rayleigh diffusion proce...
Sensitivity Analysis (SA) provides techniques which can be used to identify the parameters which hav...
The use of probabilistic methods in the biological sciences has been so well established by now that...
Stochastic analysis has a variety of applications to biological systems as well as physical and engi...
In many studies of dynamic systems, the stochastic aspects are as important as the dynamic. It is th...
Stochasticity (that is, randomness) is an inherent property of many biological systems. For example,...
We look at numerical methods for simulation of stochastic differential equations exhibiting volatili...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
Stochastic modelling of gene regulatory networks provides an indispensable tool for understanding ho...
This book develops the theory of continuous and discrete stochastic processes within the context of ...
Simple models of interacting agents can be formulated as jump Markov processes via suitably specifie...
International audienceThe evolution of the state of a single species/single substrate chemostat is u...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come ei...
AbstractStochastic approaches in systems biology are being used increasingly to model the heterogene...
This paper considers a stochastic model based on the homogeneous stochastic Rayleigh diffusion proce...
Sensitivity Analysis (SA) provides techniques which can be used to identify the parameters which hav...
The use of probabilistic methods in the biological sciences has been so well established by now that...
Stochastic analysis has a variety of applications to biological systems as well as physical and engi...
In many studies of dynamic systems, the stochastic aspects are as important as the dynamic. It is th...