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covariance matrix वाक्य

"covariance matrix" हिंदी मेंcovariance matrix in a sentence
उदाहरण वाक्यमोबाइल
  • Let be the covariance matrix and.
  • The eigenfaces themselves form a basis set of all images used to construct the covariance matrix.
  • This means that all of these sources of errors can be represented by a covariance matrix.
  • As an alternative, many methods have been suggested to improve the estimation of the covariance matrix.
  • Estimate the portfolio covariance matrix taking into account the development of the news sentiment score for volume.
  • PCA begins by computing the covariance matrix of the m \ times n matrix \ mathbf { X}
  • The basis functions are typically found by computing the eigenvectors of the covariance matrix of the data set.
  • Assuming zero-mean Gaussian white noise, the basic model of the spatial covariance matrix is given by
  • The covariance matrix ? is the multidimensional analog of what in one dimension would be the variance, and
  • The covariance matrix adaptation ( CMA ) is a method to update the covariance matrix of this distribution.
  • The covariance matrix adaptation ( CMA ) is a method to update the covariance matrix of this distribution.
  • The update equations for mean and covariance matrix maximize a likelihood while resembling an expectation-maximization algorithm.
  • In a mean-variance optimization framework, accurate estimation of the variance-covariance matrix is paramount.
  • In a practical application in portfolio optimization, accurate estimation of the variance-covariance matrix is paramount.
  • Similarly, random vectors whose covariance matrix is zero in every entry outside the main diagonal are called uncorrelated.
  • In an MPT or mean-variance optimization framework, accurate estimation of the variance covariance matrix is paramount.
  • What if the covariance matrix is not known a-priori and needs to be estimated from the data?
  • For example, in the case of a Gaussian distribution, this comprises the mean and the covariance matrix.
  • If X is a positive semi-definite square matrix, commonly referred to as the variance-covariance matrix.
  • Assuming the missing data are missing at random this results in an estimate for the covariance matrix which is unbiased.
  • अधिक वाक्य:   1  2  3

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