You can listen to this audiobook in formats: OPUS, MPEG4, WMA, MP3, WAV, FLAC (compression ARJ, RAR, BZ, TAR.7Z, ZIP, TAR.XZ, TGZ)
Total pages original book: 558
Includes a PDF summary of 44 pages
Duration of the summary (audio): 33M12S (8.8 MB)
Description or summary of the audiobook: 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.
Other categories, genre or collection: Computer Science, Probability & Statistics, Mathematical & Statistical Software, Maths For Computer Scientists