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Multiple predicting K-fold cross-validation for model selection
Yoonsuh Jung
* New professors
Research output
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Contribution to journal
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Article
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peer-review
207
Citations (Scopus)
Overview
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Dive into the research topics of 'Multiple predicting K-fold cross-validation for model selection'. Together they form a unique fingerprint.
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Business & Economics
Cross-validation
100%
Model Selection
94%
Model Validation
41%
Variable Selection
37%
Model Selection Criteria
14%
Finite Sample
11%
Mathematics
Cross-validation
70%
Model Selection
61%
Fold
56%
Model Validation
32%
Variable Selection
16%
Model
10%
Model Selection Criteria
10%
Averaging
7%
High-dimensional
6%
Observation
5%
Imply
4%
Framework
4%