Mode Estimation is a statistical inference method that identifies the most probable value(s) in a probability density function by locating the peak(s) of a kernel density estimate, distinguishing it from other density-based estimation techniques through its focus on maximal density points as representatives of central tendency or underlying data structures.
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561
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2017–2026
107
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489
1–5 of 489
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1.1K
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11
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6
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6
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5
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561
Centre National de la Recherche Scientifique
Paris, France
17 h-index
47 publications
4.4K citations
École Normale Supérieure de Lyon
Lyon, France
10 h-index
18 publications
6.2K citations
Imperial College London
London, United Kingdom
8 h-index
14 publications
795 citations
Université Toulouse III - Paul Sabatier
Toulouse, France
7 h-index
11 publications
534 citations
Laboratoire de Physique de l'ENS de Lyon
Lyon, France
7 h-index
14 publications
3.5K citations
Xi'an Jiaotong University
Xi'an, China
6 h-index
17 publications
448 citations
University of South Carolina
Columbia, United States
6 h-index
7 publications
168 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
17 publications
1.4K citations
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- The Annals of Statistics
16 publications · 1.3K citations
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- Mechanical Systems and Signal Processing
MSSP · 12 publications · 1.1K citations
12
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- IEEE Signal Processing Letters
8 publications · 346 citations
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- Journal of the American Statistical Association
8 publications · 647 citations
8
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- The Journal of the Acoustical Society of America
JASA · 8 publications · 354 citations
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