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Subset selection for multiple linear regression via optimization
Young Woong Park
*
,
Diego Klabjan
*
Corresponding author for this work
Industrial Engineering and Management Sciences
Research output
:
Contribution to journal
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Article
›
peer-review
7
Scopus citations
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Dive into the research topics of 'Subset selection for multiple linear regression via optimization'. Together they form a unique fingerprint.
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Mathematics
Subset Selection
100%
Multiple Linear Regression
96%
Programming Model
59%
Optimization
57%
Mathematical Programming
53%
Iterative Algorithm
47%
Mathematical Model
37%
Model Complexity
35%
Branch and Bound Algorithm
31%
Global Optimum
30%
Heuristic algorithm
29%
Computational Experiments
27%
Linear Program
26%
Trade-offs
25%
Mean Square
25%
Relevance
24%
Choose
22%
Optimality
21%
High-dimensional
20%
Regression
19%
Model
16%
Subset
14%
Concepts
13%
Business & Economics
Multiple Linear Regression
84%
Mathematical Programming
32%
Valid Inequalities
22%
Branch and Bound Algorithm
19%
Optimality
19%
Linear Program
17%
Heuristic Algorithm
17%
Ad Hoc
15%
Guarantee
12%
Trade-offs
11%
Experiment
9%
Engineering & Materials Science
Linear regression
76%
Set theory
48%
Mathematical programming
35%
Heuristic algorithms
15%
Experiments
5%