Generate realizations of stochastic processes in python.

StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks

BioSCRAPE (Bio-circuit Stochastic Single-cell Reaction Analysis and Parameter Estimation)

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

Multiscale Modelling Tool - mathematical modelling without the maths

ANTARES Visualizations

Networkx implementation of the SIS epidemic model for large and heterogeneous networks

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286

Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.

Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!

Demonstrates how to price derivatives in a Heston framework, using successive approximations of the invariant distribution of a Markov ergodic diffusion with decreasing time discretization steps. The framework is that of G. Pagès & F. Panloup.

Usefull models simulating stochastic processes in different times scales with or without reproduction of long-term percistence (Hurst-Kolmogorov behaviour). Also a simple tool for determening the Hurst coefficient is provided. All code is in the form of Matlab functions.

codes from theorems in the field of stochastic processes

A Python framework to build and simulate stochastic rules-based models.

Fractional calculus and commercial air transport models used in: arxiv.org/abs/1601.07655

Implementation of SIS epidemic model for large and heterogeneous networks

An extension to the MASON simulation framework introducing agent-based modelling via dependency-aware stochastic simulation algorithms, powered by aspect-oriented programming.

Python code of the Decadal and Hierarchical Markov Chain (DHMC) model for stochastic simulation of daily rainfall

Fast R implementation of Gillespie's Stochastic Simulation Algorithm