Abstract
We present a simple solution to a problem posed recently by Andersson and Perlman. This solution allows us to find the conditional independence assumptions necessary to permit maximum likelihood estimation of the parameters of a multivariate normal distribution, when certain observations are missing.
Original language | English |
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Pages (from-to) | 381-382 |
Number of pages | 2 |
Journal | Statistics and Probability Letters |
Volume | 18 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2 Dec 1993 |
Keywords
- join-irreducible
- lattice
- missing data
- Multivariate normal
- parameter estimation