Run My Code

RunMyCode enables scientists

to openly share the code and data that underlie their research publications

This service is based on the innovative concept of a companion
website associated with a scientific publication.

Users

Users can access the code and data used by researchers.
Researchers

Researchers can share the code and data used in a scientific paper. This increases transparency and reproducibility.
Journals

Journals' editors can invite the authors who publish in their journals to share their code and data on RunMyCode.

Create your companion website

Companion websites

The Empirical Cross Gramian for Parametrized Nonlinear Systems

Working Paper (2015)

Himpe Christian and Ohlberger Mario

A Note on the Cross Gramian for Non-Symmetric Systems

Working Paper (2015)

Himpe Christian and Ohlberger Mario

Detailed contact data and the dissemination of Staphylococcus aureus in hospitals

PLOS Computational Biology (2015)

Obadia Thomas, Silhol Romain, Opatowski Lulla, Temime Laura, Legrand Judith, Thiébaut Anne C.M., Herrmann Jean-Louis, Fleury Éric, Guillemot Didier, and Boëlle Pierre-Yves

Backtesting Expected Shortfall: Accounting for Tail Risk

SSRN (2015)

Escanciano Juan Carlos and Du Zaichao

Vaccination against varicella as post-exposure prophylaxis in adults: a quantitative assessment

Vaccine (2014)

Souty Cécile, Boos Evelyne, Turbelin Clément, Blanchon Thierry, Hanslik Thomas, and Boëlle Pierre-Yves

A note on implementing the Durbin and Koopman simulation smoother

MPRA (2014)

Jarocinski Marek

A note on Bayesian logistic regression for spatial exponential family Gibbs point processes

Working Paper (2014)

Rajala Tuomas

Implied Risk Exposures

Review of Finance (2014)

Perignon Christophe, Hurlin Christophe, and Benoit Sylvain

LCS Tool: A Computational Platform for Lagrangian Coherent Structures

Journal of Computational Science (2014)

Onu Kristjan, Huhn Florian, and Haller George

More companion websites

Users

Researchers

Journals

Companion websites