Statistical convergence of random variables provides a rigorous framework to describe how sequences of random quantities approach limiting behaviour in probability, in distribution and in more refined ...

This book combines theoretical and practical applications and takes project managers through the most important quantitative methods, integrates them, and illustrates interrelationships.

Most of us know this phenomenon only too well: when it's hot outside, you feel the urge for a cooling ice cream. But would you have thought that mathematics could be involved? Let us explain: The ...

High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...

Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor ...

Up to now, it has taken a great deal of computational effort to detect dependencies between more than two high-dimensional variables, in particular when complicated non-linear relationships are ...