Motivated by the investigation of probability distributions with finite variance but heavy tails, we study infinitely divisible laws whose L & eacute;vy measure is characterized by a radial component of geometric (tempered) stable type. We closely investigate the univariate case: characteristic exponents and cumulants are calculated, as well as spectral densities; absolute continuity relations are shown, and short- and long-time scaling limits of the associated L & eacute;vy processes analyzed. Finally, we derive some properties of the involved probability density functions.
Torricelli, L. (2025). Radially geometric stable distributions and processes. ADVANCES IN APPLIED PROBABILITY, 57(4), 1392-1429 [10.1017/apr.2025.12].
Radially geometric stable distributions and processes
Torricelli L.
2025
Abstract
Motivated by the investigation of probability distributions with finite variance but heavy tails, we study infinitely divisible laws whose L & eacute;vy measure is characterized by a radial component of geometric (tempered) stable type. We closely investigate the univariate case: characteristic exponents and cumulants are calculated, as well as spectral densities; absolute continuity relations are shown, and short- and long-time scaling limits of the associated L & eacute;vy processes analyzed. Finally, we derive some properties of the involved probability density functions.| File | Dimensione | Formato | |
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