Appendix: Probability

Jan H. van Schuppen*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

Abstract

Concepts and results of probability theory are presented in this chapter which complement those of Chapter 2. Concepts covered in detail include the canonical variable decomposition of a tuple of Gaussian random variables, a set of stable probability distribution functions, conditional probability, conditional Gaussian random variables, the conditional independence relation, a measure transformation, the P-essential infimum, and metrics on the set of probability measures.

Original languageEnglish
Title of host publicationControl and System Theory of Discrete-Time Stochastic Systems
PublisherSpringer
Chapter19
Pages723-766
Number of pages44
ISBN (Electronic)978-3-030-66952-2-19
DOIs
Publication statusPublished - 2021

Publication series

NameCommunications and Control Engineering
ISSN (Print)0178-5354
ISSN (Electronic)2197-7119

Keywords

  • Conditional independence
  • Measure transformations
  • Probability theory

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