Conditional Dependence Estimation
Conditional Dependence Estimation is a statistical inference method that identifies and quantifies the dependence between random variables given the values of other variables in a network structure, distinguishing it from marginal or pairwise dependence estimation by explicitly conditioning on confounding or mediating factors.
249
Publications
20.6K
Citations
658
Authors
401
Institutions
Publications per year
2017–2026
85
Parents
249
MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE*
Andrew J. Patton · International Economic Review · 2006 · 2.1K citations
Autoregressive Conditional Density Estimation
Bruce E. Hansen · International Economic Review · 1994 · 1.6K citations
1–5 of 249
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Indiana University – Purdue University Indianapolis, United States
4 publications · 63 citations
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401
Carnegie Mellon University
Pittsburgh, United States
7 h-index
15 publications
664 citations
University of Washington
Seattle, United States
6 h-index
18 publications
1.6K citations
University of Pennsylvania
Philadelphia, United States
6 h-index
10 publications
714 citations

McGill University
Montreal, Canada
6 h-index
11 publications
1.7K citations
London School of Economics and Political Science
London, United Kingdom
5 h-index
6 publications
2.3K citations
University of California, Davis
Davis, United States
5 h-index
5 publications
223 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
12 publications
385 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
154 citations
1–8 of 401
10 publications · 1.6K citations
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8 publications · 372 citations
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8 publications · 2.5K citations
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Repository · 8 publications · 231 citations
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7 publications · 263 citations
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