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A Mixed-Integer Fractional Optimization Approach to Best Subset Selection

A Mixed-Integer Fractional Optimization Approach to Best Subset Selection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2547064747

A Mixed-Integer Fractional Optimization Approach to Best Subset Selection

About this item

Full title

A Mixed-Integer Fractional Optimization Approach to Best Subset Selection

Publisher

Linthicum: INFORMS

Journal title

INFORMS journal on computing, 2021-03, Vol.33 (2), p.551-565, Article ijoc.2020.1031

Language

English

Formats

Publication information

Publisher

Linthicum: INFORMS

More information

Scope and Contents

Contents

We consider the best subset selection problem in linear regression—that is, finding a parsimonious subset of the regression variables that provides the best fit to the data according to some predefined criterion. We are primarily concerned with alternatives to cross-validation methods that do not require data partitioning and involve a range of inf...

Alternative Titles

Full title

A Mixed-Integer Fractional Optimization Approach to Best Subset Selection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2547064747

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2547064747

Other Identifiers

ISSN

1091-9856

E-ISSN

1526-5528,1091-9856

DOI

10.1287/ijoc.2020.1031

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