The superheterodyne estimator <i>G</i> <sub>55</sub> and stochastic canonical equation <i>K</i> <sub>100</sub> of MAGIC. <i>G</i> -transform

Abstract The consistency of the estimator <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>G</m:mi> <m:mn>55</m:mn> </m:msub> </m:math> {G_{55}} for quadratic forms of the regularized inverse covariance matrix is proven.

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Publication Details

Journal
Random Operators and Stochastic Equations
Published
2026-02-19
DOI
https://doi.org/10.1515/rose-2026-2001
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
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article

The superheterodyne estimator G 55 and stochastic canonical equation K 100 of MAGIC. G -transform

Vyacheslav L. Girko
Random Operators and Stochastic Equations
Random Matrices and Applications
article

The superheterodyne estimator G 55 and stochastic canonical equation K 100 of MAGIC. G -transform

Vyacheslav L. Girko
article en

Abstract

Abstract The consistency of the estimator <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>G</m:mi> <m:mn>55</m:mn> </m:msub> </m:math> {G_{55}} for quadratic forms of the regularized inverse covariance matrix is proven.

Random Operators and Stochastic EquationsVol. 34(1)
Hryhorii Skovoroda University in Pereiaslav (UA)
Openalex Percentile: Top 53%
Random Matrices and Applications
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The superheterodyne estimator <i>G</i> <sub>55</sub> and stochastic canonical equation <i>K</i> <sub>100</sub> of MAGIC. <i>G</i> -transform — Vyacheslav L. Girko · Random Operators and Stochastic Equations (2026) | TGRS Research Map | TGRS