Introduction to Functional Data Analysis

Introduction to Functional Data Analysis — Book Cover

Piotr Kokoszka and Matthew Reimherr

Chapman & Hall / CRC Press  ·  Texts in Statistical Science  ·  2017

An introductory textbook on Functional Data Analysis covering core methods, theory, and applications. Designed to be accessible to students at multiple levels while providing a solid foundation for research.

  • Accessible to advanced undergraduates and MS students
  • Advanced theoretical chapters for PhD-level work
  • Problem sets for homework and self-study
  • R-based, with example code for nearly all methods
  • Topics include functional regression, sparse FDA, functional GLMs, spatial functional data, and functional time series
Buy on Amazon Publisher Page Download Datasets

Second Edition

In Preparation

A second edition of Introduction to Functional Data Analysis is currently in preparation. It will build on the first edition with updated and expanded methodology, new application areas, and additional computational examples. More details will be posted here as they become available.