Sampling Schemes
Sampling Schemes is a methodological framework in high-frequency time series analysis that specifies the rules and intervals governing the selection of discrete observations from a continuous-time stochastic process to balance statistical efficiency and computational feasibility.
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Authors
943
Institutions
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2017–2026
185
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Lan Zhang, Per A. Mykland, Yacine Aı̈t-Sahalia · Journal of the American Statistical Association · 2005 · 1.3K citations
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Massachusetts Institute of Technology
Cambridge, United States
16 h-index
31 publications
2.2K citations
University of California San Diego
San Diego, United States
15 h-index
19 publications
1.2K citations
University of Perugia
Perugia, Italy
15 h-index
28 publications
987 citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
29 publications
1.9K citations

Imperial College London
London, United Kingdom
14 h-index
33 publications
1.9K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
14 h-index
41 publications
2.3K citations
University of Cambridge
Cambridge, United Kingdom
13 h-index
25 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
13 h-index
20 publications
1.3K citations
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45 publications · 2.3K citations
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17 publications · 683 citations
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18 publications · 373 citations
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