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  • Format: ePub

"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. The text sheds light on popular statistical learning approaches, connecting ideas from information theory, statistics, and finance.

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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. The text sheds light on popular statistical learning approaches, connecting ideas from information theory, statistics, and finance.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

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.