Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance (Wiley Series in Computational Statistics) - Image 1

£86.49

Wiley Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance (Wiley Series in Computational Statistics)

Name: Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance (Wiley Series in Computational Statistics)
Brand: Wiley
Price: 86.49 GBP
Availability: InStock

Architecture & Microprocessors

About as cheap as it gets. The only time it was cheaper was 1 year ago.

£86 today · all-time low £83 (May 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 639 days • 639 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 639 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £90 (177 days, 27.7%)

Price range: £83 - £92

Price levels: 7 different prices over 639 days

Description

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data. Focusing on nonparametric methods to adapt to the multiple types of data generating mechanisms, the book begins with an overview of classification and regression. The book then introduces and examines various tested and proven visualization techniques for learning samples and functions. Multivariate Nonparametric Regression and Visualization identifies risk management, portfolio selection, and option pricing as the main areas in which statistical methods may be implemented in quantitative finance. The book provides coverage of key statistical areas including linear methods, kernel methods, additive models and trees, boosting, support vector machines, and nearest neighbor methods. Exploring the additional applications of nonparametric and semiparametric methods, Multivariate Nonparametric Regression and Visualization features: An extensive appendix with R-package training material to encourage duplication and modification of the presented computations and research Multiple examples to demonstrate the applications in the field of finance Sections with formal definitions of the various applied methods for readers to utilize throughout the book Multivariate Nonparametric Regression and Visualization is an ideal textbook for upper-undergraduate and graduate-level courses on nonparametric function estimation, advanced topics in statistics, and quantitative finance. The book is also an excellent reference for practitioners who apply statistical methods in quantitative finance.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 0470384425
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 23 May 2014
Listed Since: 03 March 2008

Barcode

No barcode data available

Wiley Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance (Wiley Series in Computational Statistics)

About as cheap as it gets. The only time it was cheaper was 1 year ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Nonparametric Finance (Wiley Series in Probability and Statistics)

Statistical Analysis of Financial Data: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Lectures On The Theory And Application Of Modern Finance With R And Chatgpt: 10 (World Scientific Lecture Notes in Finance)

Financial Signal Processing and Machine Learning (IEEE Press)

Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies: 316 (Studies in Fuzziness and Soft Computing, 316)

Tidy Finance with Python (Chapman & Hall/CRC The Python Series)

Machine Learning in Finance: From Theory to Practice

A Course on Statistics for Finance

Machine Learning in Finance: From Theory to Practice

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more (Financial Engineering Advanced Background Series)

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)

Statistical Portfolio Estimation

Risk and Asset Allocation (Springer Finance)

Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)

Quant_Py: Python for Quantitative Finance

AI in the Financial Markets: New Algorithms and Solutions (Computational Social Sciences)

Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)

Financial Risk Forecasting: The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab (The Wiley Finance Series)

Tidy Finance with R (Chapman & Hall/CRC The R Series)

Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)