EconPapers    
Economics at your fingertips  
 

Comments on: A random forest guided tour

Peter Bühlmann () and Florencia Leonardi ()
Additional contact information
Peter Bühlmann: ETH Zürich
Florencia Leonardi: University of São Paulo

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2016, vol. 25, issue 2, No 3, 239-246

Abstract: Abstract We congratulate Gérard Biau and Erwan Scornet for an interesting paper on an important topic, namely towards better understanding of random forests and related ensemble schemes. We provide some additional comments and an outlook for the setting with heterogeneous data.

Keywords: Classification and regression trees; Ensemble methods; Heterogeneous data; Magging; Maximin aggregation; 62J02 (primary); 62H30 (secondary) (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11749-016-0483-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:testjl:v:25:y:2016:i:2:d:10.1007_s11749-016-0483-5

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11749/PS2

DOI: 10.1007/s11749-016-0483-5

Access Statistics for this article

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research is currently edited by Alfonso Gordaliza and Ana F. Militino

More articles in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research from Springer, Sociedad de Estadística e Investigación Operativa
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:testjl:v:25:y:2016:i:2:d:10.1007_s11749-016-0483-5