Craig Friedman, Sven Sandow

Utility-Based Learning from Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 t

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 417
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781420011289
• Artikelnr.: 42619474

Autorenporträt

Craig Friedman is a managing director and head of research in the Quantitative Analytics group at Standard & Poor's in New York. Dr. Friedman is also a fellow of New York University's Courant Institute of Mathematical Sciences. He is an associate editor of both the International Journal of Theoretical and Applied Finance and the Journal of Credit Risk.

Sven Sandow is an executive director in risk management at Morgan Stanley in New York. Dr. Sandow is also a fellow of New York University's Courant Institute of Mathematical Sciences. He holds a Ph.D. in physics and has published articles in scientific journals on various topics in physics, finance, statistics, and machine learning.

The contents of this book are Dr. Sandow's opinions and do not represent Morgan Stanley.