Gordon Ritter

Statistical Machine Learning with Applications in Finance

Sprache: Englisch.
gebunden , 480 Seiten
ISBN 9811232334
EAN 9789811232336
Veröffentlicht 30. April 2026
Verlag/Hersteller World Scientific Publishing Company
118,50 inkl. MwSt.
vorbestellbar (Versand mit Deutscher Post/DHL)
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Beschreibung

This unique compendium develops a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. It introduces the key elements of a parametric statistical model: likelihood, prior, and posterior, and show how to use them to make predictions.The book covers classical techniques such as multiple regression and the Kalman filter in a clear, accessible style that has been popular with students, but also includes detailed treatments of state-of-the-art models, highlighting tree-based methods, support vector machines and kernel methods, deep learning, and reinforcement learning. Theories are supplemented by real-world examples.This reference text is useful for undergraduate, graduate and even PhD students in quantitative finance, and also to practitioners who are facing the reality that data science and machine learning are disrupting the industry.

Hersteller
Libri GmbH
Europaallee 1

DE - 36244 Bad Hersfeld

E-Mail: gpsr@libri.de

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