EconPapers    
Economics at your fingertips  
 

Regression

Charu C. Aggarwal
Additional contact information
Charu C. Aggarwal: IBM T. J. Watson Research Center

Chapter Chapter 7 in Probability and Statistics for Machine Learning, 2024, pp 303-351 from Springer

Abstract: Abstract The regression problem works with pairs of observations ( x → 1 , y 1 ) $$(\vec {x}_1, y_1)$$ , ( x → 2 , y 2 ) $$(\vec {x}_2, y_2)$$ , … ( x → n , y n ) $$(\vec {x}_n, y_n)$$ in order to construct a model that maps each x → i $$\vec {x}_i$$ to yi with a functional relationship.

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:sprchp:978-3-031-53282-5_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031532825

DOI: 10.1007/978-3-031-53282-5_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 ().

 
Page updated 2026-05-12
Handle: RePEc:spr:sprchp:978-3-031-53282-5_7