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A01=Matthew Reimherr
A01=Piotr Kokoszka
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Author_Matthew Reimherr
Author_Piotr Kokoszka
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Introduction to Functional Data Analysis

English

By (author): Matthew Reimherr Piotr Kokoszka

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.

The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems.

The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

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A01=Matthew ReimherrA01=Piotr KokoszkaAge Group_UncategorizedAuthor_Matthew ReimherrAuthor_Piotr Kokoszkaautomatic-updateCategory1=Non-FictionCategory=KCHSCategory=PBKFCategory=PBTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Aug 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781498746342

About Matthew ReimherrPiotr Kokoszka

Piotr Kokoszka is a professor of statistics at Colorado State University. His research interests include functional data analysis with emphasis on dependent data structures and applications to geosciences and finance. He is a coauthor of the monograph Inference for Functional Data with Applications (with L. Horváth). He is an associate editor of several journals including Computational Statistics and Data Analysis Journal of Multivariate Analysis Journal of Time Series Analysis and Scandinavian Journal of Statistics.Matthew Reimherr is an assistant professor of statistics at Pennsylvania State University. His research interests include functional data analysis with emphasis on longitudinal studies and applications to genetics and public health. He is an associate editor of Statistical Modeling.

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