licence
发表于 2025-3-25 06:07:15
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Instinctive
发表于 2025-3-25 09:49:10
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虚度
发表于 2025-3-25 11:53:13
A Generalized Stein Identity and Matrix Differential Operators, very powerful mathematical tool and has contributed significantly to the development of shrinkage estimation. This chapter provides a generalized Stein identity in matrix-variate normal distribution model and also some useful results on matrix differential operators for a unified application of the
广大
发表于 2025-3-25 19:52:02
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DUST
发表于 2025-3-25 21:28:06
Estimation of the Covariance Matrix,s. With a unified treatment for high and low dimensions, some important improving methods of the best scale and the best triangular invariant estimators are discussed by using the residual sum of squares matrix only. Also this chapter provides interesting dominance results by using the information o
adroit
发表于 2025-3-26 03:38:22
,Decision-Theoretic Approach to Estimation,erminology of decision-theoretic estimation and shrinkage estimators in the multivariate normal mean estimation. Also, Stein’s unbiased estimate of risk is briefly explained as a general method of how to find better estimators. The unbiased risk estimate method is applied to estimation of mean and covariance matrices discussed in this book.
moratorium
发表于 2025-3-26 04:33:06
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Diastole
发表于 2025-3-26 10:47:45
A Generalized Stein Identity and Matrix Differential Operators,in identity in matrix-variate normal distribution model and also some useful results on matrix differential operators for a unified application of the identity to high- and low-dimensional normal models.
人充满活力
发表于 2025-3-26 15:56:48
Estimation of the Mean Matrix,nbiased risk estimate is unifiedly developed for a class of estimators corresponding to all possible orderings of sample size and dimensions. Specific examples of matricial shrinkage estimators are provided and also some related topics are discussed.
STYX
发表于 2025-3-26 20:43:53
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