EconPapers    
Economics at your fingertips  
 

Conditioning and Martingales

Valérie Girardin and Nikolaos Limnios
Additional contact information
Valérie Girardin: Université de Caen Normandie, Laboratoire de Mathématiques Nicolas Oresme
Nikolaos Limnios: Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne

Chapter 2 in Applied Probability, 2018, pp 59-111 from Springer

Abstract: Abstract In this chapter, conditional distributions and expectations are presented, following steps of increasing difficulty. Conditional distributions are first supposed to exist, which is true for all random variables taking values in ℝ d $$\mathbb {R}^d$$ . Still, conditional expectation is defined in the most general case. A section is dedicated to determining practically conditional distributions and expectations, and another to the linear model in which a random phenomenon is assumed to be linearly related to other simultaneously observed phenomena.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-97412-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9783319974125

DOI: 10.1007/978-3-319-97412-5_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-12
Handle: RePEc:spr:sprchp:978-3-319-97412-5_2