Skip to main content
  • 5918 Accesses

Abstract

The rules given in the following are formulated for conditional probabilities. Conditional probabilities are well suited to express empirical knowledge. This is necessary, for instance, if decisions are to be made in systems with uncertainties, as will be explained in Chapter 5.5. Three rules are sufficient to establish the theory of probability.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

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

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(2007). Probability. In: Introduction to Bayesian Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72726-2_2

Download citation

Publish with us

Policies and ethics