Moderate Deviations Analysis
Moderate Deviations Analysis is a theoretical framework within finite blocklength information theory that characterizes the asymptotic behavior of error probabilities in the regime where deviations from capacity scale slower than the inverse square root of block length, bridging large deviations and central limit scaling.
132
Publications
4.2K
Citations
175
Authors
138
Institutions
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2017–2026
20
132
Tests for Unit Roots and the Initial Condition
Ulrich K. Müller, Graham Elliott · Econometrica · 2003 · 219 citations
Education, Economics, Mathematics +16
Moderate Deviations of Dependent Random Variables Related to CLT
Liming Wu · The Annals of Probability · 1995 · 133 citations
Probabilities of moderate deviations
N. N. Amosova · Journal of Mathematical Sciences · 1982 · 95 citations
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Centre National de la Recherche Scientifique
Paris, France
11 h-index
17 publications
629 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
8 h-index
14 publications
510 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
13 publications
371 citations
Wuhan University
Wuhan, China
8 h-index
11 publications
356 citations
Ruhr University Bochum
Bochum, Germany
6 h-index
7 publications
179 citations
Stanford University
Stanford, United States
5 h-index
7 publications
156 citations

Université Clermont Auvergne
Clermont-Ferrand, France
5 h-index
7 publications
161 citations

The University of Sydney
Sydney, Australia
5 h-index
8 publications
159 citations
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14 publications · 625 citations
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9 publications · 227 citations
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7 publications · 146 citations
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6 publications · 229 citations
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5 publications · 104 citations
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