Maximum Entropy Techniques

Kurt Marti
Additional contact information
Kurt Marti: Federal Armed Forces University Munich

Chapter Chapter 8 in Stochastic Optimization Methods, 2015, pp 323-355 from Springer

Abstract: Abstract According to the considerations in the former chapters, in the following we suppose that v = v(ω, x) denotes the costs or the loss arising in a decision or design problem if the action or design x ∈ D is taken, and the elementary event $$\tilde{\omega }=\omega$$ has been realized.

Keywords: Hilbert Space; Generalize Divergence; Minimization Problem; Optimal Decision; True Distribution (search for similar items in EconPapers)
Date: 2015
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:978-3-662-46214-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783662462140

DOI: 10.1007/978-3-662-46214-0_8

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 ().