Multivariate Methods In High Energy Physics

This book draws together the dispersed expertise of the scientific community to provide a unified, coherent and practical exposition of multivariate methods as they are (and will be) applied. It is a timely reference for high energy physicists and researchers in related fields who need a concise introduction to the subject. The first three chapters contain an exposition of the main concepts of multivariate methods, while the remaining chapters focus on applications using real examples. A convincing case is made that neural networks will be the method of choice in future analyses.