preprint · arXiv (Cornell University) · 2016
On the regular conditional distribution of a multivariate Normal given a linear transformation
Rajeshwari Majumdar, Suman Majumdar
Cited by 0Open access
Abstract
We show that the orthogonal projection operator onto the range of the adjoint of a linear operator T can be represented as UT, where U is an invertible linear operator. Using this representation we obtain a decomposition of a multivariate Normal random variable Y as the sum of a linear transformation of Y that is independent of TY and an affine transformation of TY. We then use this decomposition to prove that the regular conditional distribution of a multivariate Normal random variable Y given a linear transformation TY is again a multivariate Normal distribution. This result is equivalent to the well-known result that given a k-dimensional component of a n-dimensional multivariate Normal random variable, where k < n, the regular conditional distribution of the remaining (n - k)-dimensional component is a (n - k)-dimensional multivariate Normal distribution.
Cite this paper
Majumdar, R., & Majumdar, S. (2016). On the regular conditional distribution of a multivariate Normal given a linear transformation. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1612.01210
Majumdar, Rajeshwari, and Suman Majumdar. “On the regular conditional distribution of a multivariate Normal given a linear transformation.” arXiv (Cornell University), 2016, https://doi.org/10.48550/arxiv.1612.01210.
Majumdar, Rajeshwari, and Suman Majumdar. 2016. “On the regular conditional distribution of a multivariate Normal given a linear transformation.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.1612.01210.
Majumdar, R. and Majumdar, S. (2016) ‘On the regular conditional distribution of a multivariate Normal given a linear transformation’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.1612.01210.
@misc{majumdar2016regular,
title = {{On the regular conditional distribution of a multivariate Normal given a linear transformation}},
author = {Majumdar, Rajeshwari and Majumdar, Suman},
journal = {arXiv (Cornell University)},
year = {2016},
doi = {10.48550/arxiv.1612.01210}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.