Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may ...

Abstract: The development of machine learning algorithms for the correction checking of statistical method theorems is a significant advancement in statistical research and analysis. These algorithms ...

Although it is not intended to have the formal rigor of a book, we tried to be as faithful as possible to the original algorithms and methods, only adding variants, when these were necessary for ...

This is a simple R package aimed at simplifying the statistical analysis of the results in the comparison of algorithms in different problems. It is mainly focused on non parametric methods and ...

Most algorithms in order restricted statistical inference express the estimates in terms of certain summary statistics computed from pooled samples. These algorithms may or may not yield optimal ...

“Consider the simple fact that hiring is essentially a prediction problem [and] statistical algorithms are built for prediction problems,” wrote Oren Danieli, Andrew Hillis and Michael Luca at Harvard ...