Jacobians under constraints and statistical bioinformatics


Kanti V. Mardia

Roy's theorem on Jacobians under constraints is applied to obtain an explicit form of the Haar measure. This is a key result for the matrix Fisher distribution on rotations. The distributions have recently appeared for some problems in Bioinformatics.


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