The Distribution of Products of Beta, Gamma and Gaussian Random Variables 论文
1970SIAM Journal on Applied Mathematics引用 239
Bayesian Methods and Mixture Models
摘要
The probability density functions of products of independent beta, gamma and central Gaussian random variables are shown to be Meijer G-functions. The density function of products of random beta variables is a Meijer G-function which is expressible in closed form when the parameters are integers. Recursion formulas are developed for the evaluation of the Meijer G-functions representing products of random gamma variables and products of random Gaussian variables $N(0,\sigma _i )$. These results include earlier results obtained by Springer and Thompson [1], [2] and Lomnicki [3], [4] as special cases.