• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Learning for Quantitative Trading: From Regression to Ensemble and Online Methods

Statistical Learning for Quantitative Trading: From Regression to Ensemble and Online Methods

Paperback

Business GeneralProbability & Statistics

Currently unavailable to order

ISBN13: 9798193373858
Publisher: Independently Published
Pages: 532
Weight: 1.40
Height: 1.32 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Statistical learning has become a core toolset for quantitative trading, yet many practitioners still struggle to move beyond textbook examples into robust, production-ready methods. Statistical Learning for Quantitative Trading bridges that gap.

This book takes a methodical path from classical regression techniques through modern ensemble methods and into online learning approaches designed for non-stationary market environments. Readers will learn how to frame trading problems as supervised learning tasks, evaluate models under realistic market constraints, and adapt techniques as data distributions shift.

Also from

Schwartz, Alice

Also in

Business General