mvncond2(Mean, Sigma, ind, values)
Version 1.0.0.0 (300 Bytes) by
Bogdan Potanin
Vectorized estimation of multivariate normal distribution conditional mean and covariance matrix.
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 (2025). mvncond2(Mean, Sigma, ind, values) (https://se.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 LinuxCategories
- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Continuous Distributions > Half-Normal Distribution >
Find more on Half-Normal Distribution in Help Center and MATLAB Answers
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 | Change description |
