Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance - Wiley Series in Computational Statistics by Jussi Klemela Details
A modern approach to statistical learning and its applications Through visual representation methods with unique and innovative presentation, the non-variable regression and classification provide readers with basic statistical concepts to…
A modern approach to statistical learning and its applications Through visual representation methods with unique and innovative presentation, the non-variable regression and classification provide readers with basic statistical concepts to obtain complete and accurate predictions when giving a set of data. By focusing on non-adaptive methods to adapt to multiple types of data generation mechanisms, the book begins with an overview of classification and regression. The book then presents and examines the various visualization techniques that are tested and proven to learn samples and functions.
Multivariate Infinite Analysis Regression and imagination determine risk management, portfolio selection and option pricing as key areas in which statistical methods can be implemented in quantitative finance. The book provides coverage for major statistical areas including linear roads, kernel methods, additive models, trees, reinforcement, and support for machine carriers, and the closest neighborhood routes. Exploring additional applications of non-parametric and semiparametric methods, and non-differential regression features Multivariate and Visual Imaging: * Comprehensive extension of R-pack training materials to encourage duplication and modification of submitted calculations and research * Multiple examples to illustrate applications in finance * Sections with formal definitions of different application methods for readers to use Throughout the multivariate book Nonbarametric Regression and Visualization is an ideal textbook for postgraduate and postgraduate courses on nonparametric function estimation, advanced topics in statistics, and finance To quantify.
The book is also an excellent reference for practitioners who apply statistical methods in quantitative finance.
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