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Nonparametric Finance

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function;

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Multivariate Nonparametric Regression And Visualization

, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;

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From Statistics to Mathematical Finance

from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing;

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Statistics and Finance

topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Introduction To Nonparametric Regression

This book presents an easy-to-grasp introduction to nonparametric regression. This book's straightforward, step-by-step approach provides;

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All of Nonparametric Statistics

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference;

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Nonparametric Econometrics

Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal;

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Nonparametric Inference

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Nonparametric Econometric Methods

Conference held on the LSU campus in Baton Rouge, Louisiana during November 14-16, 2008. The theme of the conference was 'Nonparametric Econometric;

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Nonparametric Techniques in Statistical Inference

Nonparametric techniques in statistics are those in which the data are ranked in order according to some particular characteristic. When;

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Nonparametric Statistical Methods

Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical;

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Nonparametric Statistics for Social and Behavioral Sciences

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;

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Nonparametric Statistics for Social and Behavioral Sciences

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Nonparametric Statistics for Non-Statisticians

A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance;

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Nonparametric Statistical Methods And Related Topics

that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting;

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Applied Nonparametric Econometrics

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances;

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Applied Nonparametric Econometrics

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Extreme Value Methods with Applications to Finance

, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been fully focused on in other books on extremes;

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A Distribution-Free Theory of Nonparametric Regression

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The;

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Local Polynomial Modelling and Its Applications

nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the;

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