Reproducible Research using Domino

This guest post was written by Arnu Pretorius, a Masters student in Mathematical Statistics at the MIH Media Lab, Stellenbosch University. Arnu’s research interests include machine learning and statistical learning theory. In science replication is important. The reason is that if the findings of a study can be replicated the stake holders involved in the research are more likely to trust the evidence presented for, or against a proposed hypothesis. Unfortunately, it is not always easy to replicate a study for various reasons. The original study could have been very large (including thousands of participants), expensive or long (stretching over many years). On the other hand, many studies consist of more modest forms of analysis which make them good candidates for replication. Focusing on the computational sciences, this post looks…


Link to Full Article: Reproducible Research using Domino