Informativity of Experiment in Bayesian Decision Problems
V. I. Ivanenko ()
Additional contact information
V. I. Ivanenko: Kyviv Polytechnic Institute
Chapter Chapter 7 in Decision Systems and Nonstochastic Randomness, 2010, pp 149-192 from Springer
Abstract:
Abstract In this chapter we shall study the question of interconnection between the concept of informativity of experiment and Shannon’s concept “quantity of information,” contained in this experiment. Here the class of decision problems and experiments is significantly narrowed with respect to previous chapters. Therefore it is convenient to change slightly the notation and terminology.
Keywords: Convex Hull; Decision Problem; Decision Scheme; Independent Vector; Natural Topology (search for similar items in EconPapers)
Date: 2010
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:978-1-4419-5548-7_7
Ordering information: This item can be ordered from
http://www.springer.com/9781441955487
DOI: 10.1007/978-1-4419-5548-7_7
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 ().