Skip to main content

Hilbert space model for functional data

  • Chapter
  • First Online:
  • 4803 Accesses

Part of the book series: Springer Series in Statistics ((SSS,volume 200))

Abstract

In this Chapter we introduce some fundamental concepts of the theory of operators in a Hilbert space, and then focus of the properties of random samples in the space L 2 of square integrable functions. The space L 2 is sufficient to handle most procedures considered in this book. We also present a few technical results that fit into the framework considered in this chapter, and are used in subsequent chapters.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this chapter

Cite this chapter

Horváth, L., Kokoszka, P. (2012). Hilbert space model for functional data. In: Inference for Functional Data with Applications. Springer Series in Statistics, vol 200. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3655-3_2

Download citation

Publish with us

Policies and ethics