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.