Skip to main content

Hankel Matrix and Singular Value Decomposition

  • Chapter
State Space Modeling of Time Series

Part of the book series: Universitext ((UTX))

  • 1230 Accesses

Abstract

This chapter constructs a Hankel matrix from auto-covariance matrices of time series which are used in Chapter 9 to estimate system matrices in the state space models for the data-generating processes. This chapter describes several concepts and relations needed in the later chapters.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

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

© 1990 Springer-Verlag Berlin · Heidelberg

About this chapter

Cite this chapter

Aoki, M. (1990). Hankel Matrix and Singular Value Decomposition. In: State Space Modeling of Time Series. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75883-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-75883-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52870-8

  • Online ISBN: 978-3-642-75883-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics