Conditional Variance Estimation
Conditional Variance Estimation is a statistical method that quantifies the uncertainty of a random variable's realization at unsampled locations given observed data, by computing the variance of the conditional distribution derived from a geostatistical model.
640
Publications
61.3K
Citations
1.1K
Authors
618
Institutions
Publications per year
2017–2026
72
Parents
640
Measuring and Testing the Impact of News on Volatility
Robert F. Engle, Victor Ng · The Journal of Finance · 1993 · 3.7K citations
Analysis of Complex Survey Samples
Thomas Lumley · Journal of Statistical Software · 2004 · 2.3K citations · Full text
Modelling the persistence of conditional variances
Robert F. Engle, Tim Bollerslev · Econometric Reviews · 1986 · 2.1K citations
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Aarhus University
Aarhus, Denmark
12 h-index
13 publications
1.1K citations
University of Chicago
Chicago, United States
11 h-index
15 publications
5.7K citations

National Bureau of Economic Research
Cambridge, United States
11 h-index
16 publications
2.1K citations
Michigan State University
East Lansing, United States
10 h-index
16 publications
2.4K citations

Cornell University
Ithaca, United States
9 h-index
10 publications
3.2K citations

The University of Sydney
Sydney, Australia
9 h-index
13 publications
519 citations
London School of Economics and Political Science
London, United Kingdom
8 h-index
11 publications
717 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
8 h-index
11 publications
1.2K citations
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34 publications · 3.4K citations
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Repository · 51 publications · 1.9K citations
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JBES · 22 publications · 4.7K citations
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Repository · 23 publications · 1.3K citations
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13 publications · 4K citations
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