Git Product home page Git Product logo

hammouc / multilevel-monte-carlo-with-importance-sampling-for-srns Goto Github PK

View Code? Open in Web Editor NEW
10.0 5.0 1.0 1.82 MB

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

MATLAB 100.00%
multilevel-models multilevel multilevel-monte-carlo importance-sampling biological-networks biological-simulations matlab stochastic-simulation-algorithm stochastic-reaction-networks stochastic-biological-systems monte-carlo-methods numerical-analysis numerical-simulations stochastic-process

multilevel-monte-carlo-with-importance-sampling-for-srns's Introduction

Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks

This repository includes Matlab codes and 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 https://link.springer.com/article/10.1007/s11222-020-09965-3 or in https://arxiv.org/abs/1911.06286. This work intends to design a more efficient and robust multilevel Monte Carlo (MLMC) estimator for stochastic biological systems and pure jumps. In particular, we address the issue of catastrophic coupling, explained in https://arxiv.org/abs/1911.06286.

The repository includes:

1- Folder “MLMC_without_IS_for_SRNs” includes all related code to MLMC, based on explicit tau-leap, without importance sampling

2- Folder “MLMC_with_IS_for_SRNs” includes all related code to MLMC, based on explicit tau-leap, with importance sampling.

3- Folder “MC_SSA_SRNs” includes all related code to Monte Carlo (MC) with an exact scheme SSA.

4- Folder “Produced_results” includes all obtained results in our manuscript.

multilevel-monte-carlo-with-importance-sampling-for-srns's People

Contributors

hammouc avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

Forkers

mrslezak

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.