Lag Features
Lag Features is a time series feature engineering technique that introduces delayed observations of the target variable or exogenous inputs as predictive variables to capture temporal dependencies.
32
Publications
2.2K
Citations
112
Authors
73
Institutions
Publications per year
2017–2026
7
Variants
Time-delayed FeaturesTime-lagged Features
32
F. Thomas Juster, Paul Wachtel, Saul H. Hymans et al. · Brookings Papers on Economic Activity · 1972 · 104 citations
1–5 of 32
112
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Louisiana State University Agricultural Center, United States
1 publications · 50 citations
1
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1
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1–5 of 112
73
Kavli Institute for Particle Astrophysics and Cosmology
Menlo Park, United States
3 h-index
5 publications
117 citations
Stanford University
Stanford, United States
3 h-index
3 publications
72 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
45 citations
National Hospital for Neurology and Neurosurgery
London, United Kingdom
2 h-index
2 publications
45 citations

University of Warsaw
Warsaw, Poland
2 h-index
2 publications
44 citations
University College London
London, United Kingdom
2 h-index
4 publications
90 citations

Durham University
Durham, United Kingdom
2 h-index
2 publications
75 citations
National Astronomical Observatories
Beijing, China
2 h-index
5 publications
136 citations
1–8 of 73
3 publications · 109 citations
3
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JG · 2 publications · 56 citations
2
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BPEA · 2 publications · 119 citations
2
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JGR · 1 publications · 1.3K citations
1
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1 publications · 65 citations
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1–5