Skip to main content

Stationary (Strict Sense) Random Sequences and Ergodic Theory

  • Chapter
Probability

Part of the book series: Graduate Texts in Mathematics ((GTM,volume 95))

  • 6138 Accesses

Abstract

Let (Ω P) be a probability space and \( \xi = \left( {{\xi _1},{\xi _2},...} \right) \) a sequence of random variables or, as we say, a random sequence. Let θ k ξ denote the sequence \(\left( {{\xi _{k + 1}},{\xi _{k + 2}},...} \right) \).

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 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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

© 1996 Springer Science+Business Media New York

About this chapter

Cite this chapter

Shiryaev, A.N. (1996). Stationary (Strict Sense) Random Sequences and Ergodic Theory. In: Probability. Graduate Texts in Mathematics, vol 95. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2539-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2539-1_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-2541-4

  • Online ISBN: 978-1-4757-2539-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics