Lag Selection
Lag Selection is a methodological procedure in autocorrelation analysis that determines the optimal number of time lags to include in a model to accurately capture temporal dependencies while avoiding overfitting.
108
Publications
14.9K
Citations
203
Authors
165
Institutions
Publications per year
2017–2026
19
Parents
108
1–5 of 108
203
6
h-index
United Arab Emirates University, United Arab Emirates
6 publications · 705 citations
6
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6
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4
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3
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1–5 of 203
165
University of Michigan
Ann Arbor, United States
4 h-index
5 publications
911 citations
Maastricht University
Maastricht, The Netherlands
4 h-index
4 publications
124 citations
Yale University
New Haven, United States
3 h-index
3 publications
83 citations

Jönköping University
Jönköping, Sweden
3 h-index
3 publications
334 citations

Australian National University
Canberra, Australia
3 h-index
4 publications
134 citations

Lund University
Lund, Sweden
3 h-index
4 publications
183 citations
Michigan State University
East Lansing, United States
3 h-index
3 publications
241 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
305 citations
1–8 of 165
Repository · 4 publications · 103 citations
4
h-index
Repository · 3 publications · 125 citations
3
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3 publications · 88 citations
3
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Repository · 3 publications · 70 citations
3
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3 publications · 366 citations
3
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1–5