Functional Data Analysis with R 1st Edition by Ciprian M Crainiceanu, Jeff Goldsmith, Andrew Leroux, Erjia Cui ISBN 1032244712 978-1032244716

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Product details:

ISBN 10: 1032244712 

ISBN 13: 978-1032244716

Author: Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, Erjia Cui

 Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches.

Table of contents: 

1. Basic Concepts

2. Key Methodological Concepts

3. Functional Principal Components Analysis

4. Scalar-on-Function Regression

5. Function-on-Scalar Regression

6. Function-on-Function Regression

7. Survival Analysis with Functional Predictors

8. Multilevel Functional Data Analysis

9. Clustering of Functional Data

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Tags: Ciprian M Crainiceanu, Jeff Goldsmith, Andrew Leroux, Erjia Cui, Functional Data Analysis