Lagged Dependence Modeling
Lagged Dependence Modeling is a time series analysis framework that characterizes the temporal dependence structure in hydrologic data by identifying and quantifying the delayed influences of past system states on current observations, distinguishing it from instantaneous or short-memory models through its explicit focus on prolonged, sequential hydrological memory effects.
20
Publications
1.1K
Citations
33
Authors
24
Institutions
Publications per year
2017–2026
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Urmia University
Urmia, Iran
2 h-index
2 publications
147 citations
Banque de France
Paris, France
2 h-index
2 publications
53 citations
IZA - Institute of Labor Economics
Bonn, Germany
2 h-index
2 publications
62 citations
Optics Technology (United States)
Pittsford, United States
1 h-index
2 publications
42 citations

University of Exeter
Exeter, United Kingdom
1 h-index
2 publications
300 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
42 citations

Ghent University
Ghent, Belgium
1 h-index
1 publications
34 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
1 publications
19 citations
1–8 of 24
4 publications · 357 citations
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Repository · 2 publications · 62 citations
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2 publications · 32 citations
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1 publications · 21 citations
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1 publications · 30 citations
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