目前,我有三个边际概率密度函数。我想获得他们的联合PDF,但我不知道如何做到这一点。这似乎微不足道,但在谷歌搜索后找不到答案。
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
mu_0 = 0
sigma_0 = 1
loc_proposal_dist = stats.norm(loc = mu_0, scale = sigma_0)
scale_proposal_dist = stats.halfnorm() # sigma0_2 = 1 I THINK (CHECK)
df_proposal_dist = stats.randint(a=1, b=101) # df ~ Unif{1, 2, ..., 100}
joint_pdf = loc_proposal_dist * scale_proposal_dist * df_proposal_dist # Doesn't work
1条答案
按热度按时间vohkndzv1#
假设他们是独立的边缘,那么联合将是他们的产品。因此,要评估联合PDF,您只需评估:
哦,对你来说: