Skip to main content

Bayes and Sequential Estimation in Stochastic PDEs

  • Chapter
  • 2932 Accesses

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 1923))

In Chapters 2-4 we were concerned with the study of asymptotic properties of several estimators of real valued drift parameter in linear and nonlinear Itô stochastic differential equations (SDEs) whose solutions are real valued diffusions. In many cases the results can be generalized to multidimensional stochastic differential equations. Parameter estimation in finite dimensional stochastic differential equations (SDEs) has been paid a lot of attention during the last three decades. See e.g., Liptser and Shiryayev (1978), Basawa and Prakasa Rao (1980), Kutoyants (1984a, 1994a) and Prakasa Rao (1999).

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   49.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   64.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(2008). Bayes and Sequential Estimation in Stochastic PDEs. In: Parameter Estimation in Stochastic Differential Equations. Lecture Notes in Mathematics, vol 1923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74448-1_5

Download citation

Publish with us

Policies and ethics