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

A New Nonlinear Wavelet-Based Unit Root Test with Structural Breaks

Munich Personal RePEc Archive (2019)

Aydin Mucahit

Hybrid individual- and particle-based simulation model and data on air pollutants and vertical greenery systems in the city of Yerevan, Armenia

Urban Forestry & Urban Greening (2020)

Akopov Andranik, Beklaryan Levon, and Saghatelyan Armen

Are shocks to disaggregated renewable energy consumption permanent or temporary for the USA? Wavelet based unit root test with smooth structural shifts

Energy (2020)

Aydin Mucahit

Finding the self in chance events

International Journal of Research in Marketing (2020)

Kim Aekyoung

Combined State and Parameter Reduction

Proceedings in Applied Mathematics and Mechanics (2014)

Himpe Christian and Ohlberger Mario

Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms

Working Paper (2020)

Himpe Christian

Statistical inference of locally stationary functional coefficient models

Journal of Statistical Planning and Inference (2020)

Ding Hao, Hu Jianhua, Liu Liangyuan, and Feng Jingyan

Stock prices, exchange rates and portfolio equity flows: A Toda-Yamamoto Panel Causality Test

Journal of Economic Studies (2019)

Andriansyah Andriansyah

A Multi-Scale Learning Local Phase and Amplitude Blind Image Quality Assessment for Multiply Distorted Images

IEEE Access (2018)

Li Chaofeng

More companion websites

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Journals

Companion websites