Utility-Based Learning from Data Contributor(s): Friedman, Craig (Author), Sandow, Sven (Author) |
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ISBN: 1584886226 ISBN-13: 9781584886228 Publisher: CRC Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: August 2010 |
Additional Information |
BISAC Categories: - Computers | Software Development & Engineering - Systems Analysis & Design - Mathematics | Probability & Statistics - General - Business & Economics | Statistics |
Dewey: 006.31 |
LCCN: 2010023847 |
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition |
Physical Information: 1" H x 6.2" W x 9.3" (1.63 lbs) 418 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used to make decisions. Specifically, the authors adopt the point of view of a decision maker who (i) operates in an uncertain environment where the consequences of every possible outcome are explicitly monetized, These assumptions are naturally expressed in the language of utility theory, which is well known from finance and decision theory. By taking this point of view, the book sheds light on and generalizes some popular statistical learning approaches, connecting ideas from information theory, statistics, and finance. It strikes a balance between rigor and intuition, conveying the main ideas to as wide an audience as possible. |