本文介绍了两个 beta 分布的乘积的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着跟版网的小编来一起学习吧！
问题描述
假设我有两个随机变量:
Say I have two random variables:
X ~ Beta(α1,β1)
X ~ Beta(α1,β1)
Y ~ Beta(α2,β2)
Y ~ Beta(α2,β2)
我想计算 Z = XY(随机变量的乘积)的分布
I would like to compute distribution of Z = XY (the product of the random variables)
使用 scipy，我可以获得单个 Beta 版的 pdf:
With scipy, I can get the pdf of a single Beta with:
from scipy.stats import beta
rv = beta(a, b)
x = np.linspace(start=0, stop=1, num=200)
my_pdf = rv.pdf(x)
但是两个 Beta 的乘积呢?我可以分析吗?(Python/Julia/R 解决方案很好).
But what about the product of two Betas? Can I do this analytically? (Python/Julia/R solutions are fine).
推荐答案
对于分析解决方案，请查看 这篇论文和这个答案.
For an analytical solution, have a look at this paper and this answer.
R
set.seed(1) # for reproducability
n <- 100000 # number of random variables
# first beta distribution
a1 <- 0.5
b1 <- 0.9
X <- rbeta(n, a1, b1)
# second beta distribution
a2 <- 0.9
b2 <- 0.5
Y <- rbeta(n, a2, b2)
# calculate product
Z <- X * Y
# Have a look at the distributions
plot(density(Z), col = "red", main = "Distributions")
lines(density(X), lty = 2)
lines(density(Y), lty = 2)
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