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Statistical Applications of Jordan Algebras (Paperback, Softcover reprint of the original 1st ed. 1994)
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Statistical Applications of Jordan Algebras (Paperback, Softcover reprint of the original 1st ed. 1994)
Series: Lecture Notes in Statistics, 91
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This monograph brings together my work in mathematical statistics
as I have viewed it through the lens of Jordan algebras. Three
technical domains are to be seen: applications to random quadratic
forms (sums of squares), the investigation of algebraic
simplifications of maxi mum likelihood estimation of patterned
covariance matrices, and a more wide open mathematical exploration
of the algebraic arena from which I have drawn the results used in
the statistical problems just mentioned. Chapters 1, 2, and 4
present the statistical outcomes I have developed using the
algebraic results that appear, for the most part, in Chapter 3. As
a less daunting, yet quite efficient, point of entry into this
material, one avoiding most of the abstract algebraic issues, the
reader may use the first half of Chapter 4. Here I present a
streamlined, but still fully rigorous, definition of a Jordan
algebra (as it is used in that chapter) and its essential
properties. These facts are then immediately applied to simplifying
the M: -step of the EM algorithm for multivariate normal covariance
matrix estimation, in the presence of linear constraints, and data
missing completely at random. The results presented essentially
resolve a practical statistical quest begun by Rubin and Szatrowski
1982], and continued, sometimes implicitly, by many others. After
this, one could then return to Chapters 1 and 2 to see how I have
attempted to generalize the work of Cochran, Rao, Mitra, and
others, on important and useful properties of sums of squares."
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