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A GENERALIZED FUZZY COVARIANCE MATRIX
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1995This paper describes a generalized fuzzy covariance matrix based on the notion of fuzzy similitude and its application to discriminant analysis. It is shown that this generalized fuzzy covariance matrix may be useful in the determination of outliers. It is further noted that the generalized fuzzy covariance matrix may help to distinguish outliers from
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2003
Abstract This chapter develops further the idea of LU decomposition and applies it to the simulation of covariance matrices. The vast majority of cash flow models used to analyze the creditworthiness of structured securities or to investigate foreign exchange risk will include an implementation.
Sylvain Raynes, Ann Rutledge
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Abstract This chapter develops further the idea of LU decomposition and applies it to the simulation of covariance matrices. The vast majority of cash flow models used to analyze the creditworthiness of structured securities or to investigate foreign exchange risk will include an implementation.
Sylvain Raynes, Ann Rutledge
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Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data
Review of Economics and Statistics, 1998J. Driscoll, Aart C. Kraay
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A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
, 1980H. White
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IEEE Congress on Evolutionary Computation, 2017
Abhishek Kumar, R. Misra, Devender Singh
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Abhishek Kumar, R. Misra, Devender Singh
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A Toeplitz Covariance Matrix Reconstruction Approach for Direction-of-Arrival Estimation
IEEE Transactions on Vehicular Technology, 2017Xiaohuan Wu, Wei-Ping Zhu, Jun Yan
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Covariance Matrix Estimation Under Low-Rank Factor Model With Nonnegative Correlations
IEEE Transactions on Signal Processing, 2022Perez Palomar Daniel +2 more
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