Moments of q-Normal and conditional q-Normal distributions
Pawe{\l} J. Szab{\l}owski

TL;DR
This paper derives moments and moment generating functions for q-Normal and conditional q-Normal distributions, which generalize classical distributions like Normal, Wigner, and Kesten-McKay, and explores related asymptotic properties.
Contribution
It provides explicit calculations of moments and generating functions for these generalized distributions, extending understanding of their properties.
Findings
Derived moments and generating functions for q-Normal distributions
Connected q-Normal and conditional q-Normal to classical distributions
Analyzed asymptotic properties of Bessel function expansions
Abstract
We calculate moments and moment generating functions of two distributions: the so called Normal and the so called conditional Normal distributions. These distributions generalize both Normal ( Wigner ( Normal) and Kesten-McKay ( conditional Normal) distributions. As a by product we get asymptotic properties of some expansions in modified Bessel functions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
