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Positive-Definite Matrix Processes of Finite Variation

by Ole Eiler Barndorff-Nielsen and Robert Stelzer
Research Reports Number 480 (July 2006)

Processes of finite variation, which take values in the positive semidefinite matrices and are representable as the sum of an integral with respect to time and one with respect to an extended Poisson random measure, are considered. For such processes we derive conditions for the square root (and the $r$-th power with $0

Moreover, Ornstein-Uhlenbeck type processes taking values in the positive semidefinite matrices are introduced and their probabilistic properties are studied.

Format available: PDF (531 KB)
Published in Probability and Mathematical Statistics 27, 3-43.
This primarily serves as Thiele Research Reports number 11-2006, but was also published in Research Reports