A rapid method for computing the inverse of the gametic covariance matrix between relatives for a marked Quantitative Trait Locus by Freeman Albert E, Abdel-Azim Gamal

“…<p>Abstract</p> <p>The inverse of the gametic covariance matrix between relatives, <b>G</b>^-1, for a marked quantitative trait locus (QTL) is required in best linear unbiased prediction (BLUP) of breeding values if marker data are available on a QTL. …”
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The attitude determination problem from two reference vectors- a description of the triad algorithm and its attitude covariance matrix by Francisco Granziera Junior, Roberto Vieira da Fonseca Lopes, Marcelo Carvalho Tosin

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The Requirement of a Positive Definite Covariance Matrix of Security Returns for Mean-Variance Portfolio Analysis: A Pedagogic Illustration by Clarence C. Y. Kwan

“…This study considers, from a pedagogic perspective, a crucial requirement for the covariance matrix of security returns in mean-variance portfolio analysis. …”
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Evaluation of GPS user receiver prognostic coordinates accuracy, using reference station network by Jonas Skeivalas

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Improved covariance matrix evolution strategy algorithm for stochastic dynamic unequal area facility layouts in an open area [electronic resource] / by Ali Derakhshanasl, 1979-, author 596528, Wong, Kuan Yew, supervisor 185071, Fakulti Kejuruteraan Mekanikal 8081

Robust adaptive beamforming method based on desired signal steering vector estimation and interference-Plus-noise covariance matrix reconstruction by Junsheng Huang, Hongtao Su, Yang Yang

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Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix by Zhengyan Zhang, Jianyun Zhang, Qingsong Zhou, Xiaobo Li

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Reliable Online Parameter Identification of Li-Ion Batteries in Battery Management Systems Using the Condition Number of the Error Covariance Matrix by Minho Kim, Kwangrae Kim, Soohee Han

“…In this work, a new reliable version of ECM based RLS, called a condition number based recursive least squares (CNRLS) algorithm, is proposed to avoid large errors due to insufficient excitation by monitoring the condition number of the error covariance matrix If the condition number is greater than a certain prescribed value, currently identified parameters are considered unreliable and hence the proposed algorithm uses stored internal variables previously computed with sufficiently exciting input current, leading to small condition number of the error covariance matrix. …”
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<i>k</i>-Covariance: An Approach of Ensemble Covariance Estimation and Undersampling to Stabilize the Covariance Matrix in the Global Minimum Variance Portfolio by Tuan Tran, Nhat Nguyen, Trung Nguyen

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Cross Entropy Covariance Matrix Adaptation Evolution Strategy for Solving the Bi-Level Bidding Optimization Problem in Local Energy Markets by Dharmesh Dabhi, Kartik Pandya, Joao Soares, Fernando Lezama, Zita Vale

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An Enhanced Smoothed <i>L</i>₀-Norm Direction of Arrival Estimation Method Using Covariance Matrix by Ji Woong Paik, Joon-Ho Lee, Wooyoung Hong

“…An enhanced smoothed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>l</mi><mn>0</mn></msub></semantics></math></inline-formula>-norm algorithm for the passive phased array system, which uses the covariance matrix of the received signal, is proposed in this paper. …”
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Asymptotic Form of the Covariance Matrix of Likelihood-Based Estimator in Multidimensional Linear System Model for the Case of Infinity Number of Nuisance Parameters by Alexander Varypaev

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A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition by Shunfang Wang, Ping Liu

“…To further improve the covariance-based methods such as PCA (or KPCA), this paper firstly proposed an entropy matrix to load the uncertainty information of random variables similar to the covariance matrix loading the variation information in PCA. …”
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Robust Standard Error Estimators for Panel Models: A Unifying Approach by Giovanni Millo

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A Pitfall in Using the Characterization of Granger Non-Causality in Vector Autoregressive Models by Umberto Triacca

Subjects: “…covariance matrix…”
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Optomechanical squeezing and entanglement in cavities optomechanical system by Desalegn Ayehu

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Decoupling cross-quadrature correlations using passive operations by Assad, Syed Muhamad, Gu, Mile, Li, Xiaoying, Lam, Ping Koy

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Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction by Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari

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Human Capital Productivity in Strategic Organizations and Design of an Applied Model Using Structural Equation Model and Covariance Matrix: The Case of Strategic Navy by Sohrab Sadegh, Abutaleb Motallebi Varkani, Zahra Alipour, Jamshid Sadeghi, Yosef Mohammadimoghadam

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Exploiting Spatial Information to Enhance DTI Segmentations via Spatial Fuzzy c-Means with Covariance Matrix Data and Non-Euclidean Metrics by Safa Elsheikh, Andrew Fish, Diwei Zhou

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