Minimum Mean Square Error Estimation
Minimum Mean Square Error Estimation is a parameter estimation method that belongs to the class of Bayesian estimators and is distinguished by its objective of minimizing the expected value of the squared difference between the estimated parameters and their true values under a given prior distribution.
1.2K
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94.2K
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969
Institutions
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2017–2026
247
Variants
Mmse Estimation
1.2K
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 1970 · 8.9K citations
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 2000 · 6.6K citations
Least Median of Squares Regression
Peter J. Rousseeuw · Journal of the American Statistical Association · 1984 · 3.6K citations
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Taras Shevchenko National University of Kyiv, Ukraine
10 publications · 158 citations
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Technion – Israel Institute of Technology
Haifa, Israel
22 h-index
56 publications
16.8K citations
Princeton University
Princeton, United States
18 h-index
42 publications
5K citations

Southeast University
Nanjing, China
15 h-index
52 publications
2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
14 h-index
29 publications
1.3K citations
Stanford University
Stanford, United States
13 h-index
21 publications
769 citations

Delft University of Technology
Delft, The Netherlands
13 h-index
33 publications
6.3K citations
Tsinghua University
Beijing, China
13 h-index
45 publications
4.2K citations

Xi'an Jiaotong University
Xi'an, China
13 h-index
28 publications
2.5K citations
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125 publications · 8.7K citations
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45 publications · 4.6K citations
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22 publications · 969 citations
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25 publications · 1.4K citations
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29 publications · 2K citations
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