Kernel-based Estimation
Kernel-Based Estimation is a nonparametric statistical method that belongs to the class of smoothing techniques in time series analysis, distinguished by its use of a kernel function to assign weighted averages to nearby observations for estimating underlying structures such as volatility or spectral density in high-frequency data.
1.9K
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134.8K
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3.1K
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Publications per year
2017–2026
345
1.9K
Estimating Continuous Distributions in Bayesian Classifiers
George H. John, Pat Langley · arXiv (Cornell University) · 2013 · 2.9K citations · Full text
Dlib-ml: A Machine Learning Toolkit
Davis E. King · 2009 · 2.9K citations
Integrating structured biological data by Kernel Maximum Mean Discrepancy
Karsten Borgwardt, Arthur Gretton, Malte J. Rasch et al. · Bioinformatics · 2006 · 1.7K citations · Full text
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University of North Carolina at Chapel Hill, United States
19 publications · 3.3K citations
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12
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1.3K
Texas A&M University
College Station, United States
25 h-index
55 publications
3.5K citations

The Open University
Milton Keynes, United Kingdom
22 h-index
30 publications
3.2K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
71 publications
2.9K citations

Sorbonne Université
Paris, France
19 h-index
36 publications
1.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
19 h-index
31 publications
3.2K citations
Stanford University
Stanford, United States
19 h-index
26 publications
10.4K citations
University of California San Diego
San Diego, United States
18 h-index
24 publications
2K citations

Australian National University
Canberra, Australia
17 h-index
33 publications
3.3K citations
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108 publications · 16.4K citations
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62 publications · 5.2K citations
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84 publications · 2.8K citations
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44 publications · 3.7K citations
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34 publications · 4.2K citations
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