Information and Entropy

Eduardo Souza de Cursi ()
Additional contact information
Eduardo Souza de Cursi: INSA Rouen Normandie

Chapter Chapter 3 in Uncertainty Quantification with R, 2024, pp 203-264 from Springer

Abstract: Abstract This chapter presents the notions connected to Shannon’s entropy and information, namely the joint, conditional, relative (Kullback–Leibler) entropies, and the mutual information, with their implementations in R. Applications to surprise quantification are shown, with their implementation in R. Examples show the use of the programs presented.

Date: 2024
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:isochp:978-3-031-48208-3_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031482083

DOI: 10.1007/978-3-031-48208-3_3

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().