This book covers the methodology, applications, and software used in high-dimensional regression modeling. Data collected in many fields is high-dimensional in the sense that many characteristics, or features, are recorded for each observation. The collection of this kind of data is a relatively recent phenomenon, and it poses many challenges that traditional statistical methods have proven incapable of addressing. During the past decade, penalized regression models have become a widespread and important tool for analyzing these kinds of data sets.
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John C. Maxwell (54) DK (9) Harvard Business Review (8) Dave Ramsey (7) James Herriot (7) New Nomads Press (7) Brian Tracy (6) Jocko Willink (6) Bob Burg (5) Jamie K. Spatola (5) Author (4) Avi Loeb (4) Daniel Goleman (4) Flame Tree Studio (4) Henry Cloud (4) Jeffrey Gitomer (4) John David Mann (4) Lambda Publishing (4) Sandor Ellix Katz (4) Stephen R. Covey (4)