mvncond2(Mean, Sigma, ind, values)

Vectorized estimation of multivariate normal distribution conditional mean and covariance matrix.
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Updated 19 Jan 2017

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This function provides vectorized estimation of multivariate normal distribution conditional expectation and covariance matrix. Mean is a matrix where rows represent expectation vectors. Sigma is covariance matrix. Ind is the index of the first unconditioned argument. Values is a matrix of conditional values which rows correspond to Mean rows.

Cite As

Bogdan Potanin (2024). mvncond2(Mean, Sigma, ind, values) (https://www.mathworks.com/matlabcentral/fileexchange/61201-mvncond2-mean-sigma-ind-values), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0

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