Abstract
We build upon recent advances on the distributional aspect of Stein’s method to propose a novel and flexible technique for computing Stein operators for random variables that can be written as products of independent random variables. We show that our results are valid for a wide class of distributions including normal, beta, variance-gamma, generalized gamma and many more. Our operators are kth degree differential operators with polynomial coefficients; they are straightforward to obtain even when the target density bears no explicit handle. As an application, we derive a new formula for the density of the product of k independent symmetric variance-gamma distributed random variables.
| Original language | English |
|---|---|
| Pages (from-to) | 260-279 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 469 |
| Issue number | 1 |
| Early online date | 11 Sept 2018 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
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