Statistics for High-Dimensional Data: Methods, Theory and Applications
Peter Bühlmann, Sara van de Geer (auth.)Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.
A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
Beware of he who would deny you access to information, for in his heart he dreams himself your master
فائل کنورٹر
مزید تلاش کے نتائج
دیگر فوائد 
اہم جملے
متعلقہ بک لسٹیں
