Partially Observed Models
Partially Observed Models is a statistical modeling framework within semiparametric modeling that belongs to the class of models incorporating both parametric and nonparametric components, distinguished by its explicit treatment of latent or unobserved variables that influence the observed data but cannot be directly measured.
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5.6K
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95
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54
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2017–2026
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Consistent Estimates Based on Partially Consistent Observations
Jerzy Neyman, Elizabeth L. Scott · Econometrica · 1948 · 2.7K citations
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Queen's University
Kingston, Canada
2 h-index
3 publications
93 citations
University of Kansas
Lawrence, United States
2 h-index
3 publications
54 citations
Texas A&M University
College Station, United States
2 h-index
6 publications
155 citations
The University of Osaka
Osaka, Japan
2 h-index
2 publications
40 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
24 citations
Tsinghua University
Beijing, China
1 h-index
3 publications
45 citations
Mitchell Institute
Portland, United States
1 h-index
3 publications
66 citations
Stanford University
Stanford, United States
1 h-index
1 publications
44 citations
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2 publications · 22 citations
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2 publications · 41 citations
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2 publications · 67 citations
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2 publications · 151 citations
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Repository · 2 publications · 70 citations
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