Computo

Computo is published since 2022 and has been created in the context of a reproducibility crisis in science, which calls for higher standards in the publication of scientific results. Computo aims at promoting computational/algorithmic contributions in statistics and machine learning that provide insight into which models or methods are the most appropriate to address a specific scientific question.

The journal welcomes the following types of contributions:

• New methods with original stats/ML developments, or numerical studies that illustrate theoretical results in stats/ML;
• Case studies or surveys on stats/ML methods to address a specific (type of) question in data analysis, neutral comparison studies that provide insight into when, how, and why the compared methods perform well or less well;
• Software papers to present implementations of stats/ML algorithms or to feature the use of a package/toolbo

The reproducibility of numerical results is a necessary condition for publication in Computo. In particular, submissions must include all necessary data (e.g. via zenodo repositories) and code. For contributions featuring the implementation of methods/algorithms, the quality of the provided code is assessed during the review process. We accept contributions in the form of notebooks (e.g. Rmarkdown, or Jupyter).