Abstract
This note consists of two parts. In the first part, we provide a pedagogic review on the multivariate generalized hyperbolic (MGH) distribution. We show that this probability family is close under margining, conditioning, and linear transforms; however, such property does not hold for its subclasses. In the second part, we obtain the Stein-type inequality in the context of MGH distribution. Moreover, we apply the Stein-type inequality to prove a lower bound for Var[h(X)]. Particularly, we present examples when X belongs to some well-known subclasses in MGH family.
Original language | English |
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Pages (from-to) | 5346-5356 |
Number of pages | 11 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 47 |
Issue number | 21 |
Early online date | 12 Oct 2018 |
DOIs | |
Publication status | Published - 2 Nov 2018 |
Keywords
- Bounds for Var[h(X)]
- multivariate generalized hyperbolic distribution
- Stein-type inequality
- Stein’s lemma
ASJC Scopus subject areas
- Statistics and Probability