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covariance

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covariance

covariance Sentence Examples

  • We now use matrix perturbation theory to compute the covariance of based on this zero approximation.

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  • Discrete Random Variables: mean and variance; linear combinations; covariance and correlation.

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  • covariance specified between the elements and in belief store 1, .

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  • calculate the inverse covariance of the full Gaussian, and use the partitioned inverse equations to obtain the covariance for the known data.

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  • For each pair of elements in the base B, say, we store their adjusted covariance, .

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  • These reflections show at the same time how natural the demand for general covariance is.

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  • This lower covariance should make REITs a better diversification investment vehicle.

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  • The incremental average covariance and the incremental realized variance are found to be negative during the 1987 crash and the 1992 ERM crisis.

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  • Support for diagonal and full covariance Gaussian mixture HMMs.

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  • covariance matrix for the shocks.

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  • covariance structure.

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  • covariance function can be calculated.

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  • covariance structure models.

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  • covariance analysis.

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  • covariance terms are positive, so eq.

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  • The original calibration and corroboration of the SPA model was against long-term eddy covariance data from the Harvard Forest, Massachusetts.

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  • The fourth option allows the user to specify a variance covariance matrix for the shocks.

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  • At update times, the error covariance is calculated from the ensemble.

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  • In the case where spatial information is available, this is encoded in the estimation of the sample covariance matrix.

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  • denotes the covariance matrix of the observations.

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  • dispersive waves, relativistic covariance of electromagnetism and complex analysis.

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  • eddy covariance data from the Harvard Forest, Massachusetts.

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  • We use a gaussian kernel with a covariance matrix equal to that of the original data set,, ie.

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  • variance covariance matrix for the shocks.

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  • We now use matrix perturbation theory [7] to compute the covariance of based on this zero approximation.

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