Dec 25, 2023 · Then the joint distribution is described by the $2\times 2$ matrix $\pmatrix {0 & 0 \\ 1 & 0}$, which is obviously not symmetric with respect to transposition. Second, the Bayes …

In general, you can't recover the joint density from the marginals. You need more information. In a few cases (eg joint gaussian variables, or two bernoullis) the correlation would suffice.

Dec 8, 2015 · Can someone explain to me the difference between joint probability distribution and conditional probability distribution?

Jul 6, 2015 · How to calculate the joint probability from two normal distributions Ask Question Asked 10 years, 6 months ago Modified 10 years, 6 months ago

Mar 23, 2023 · In general, the joint distribution is not uniquely determined by the marginals. The correlations only give second order moment information so are still not enough to pin down a …

Feb 2, 2018 · Find joint distribution of minimum and maximum of iid random variables Ask Question Asked 7 years, 10 months ago Modified 3 years, 3 months ago

Mar 20, 2017 · Joint Distribution of n Poisson Random Variables Ask Question Asked 8 years, 9 months ago Modified 1 year, 11 months ago

Explore related questions probability probability-distributions uniform-distribution See similar questions with these tags.

joint distribution, discrete and continuous random variables Ask Question Asked 10 years, 9 months ago Modified 1 year, 9 months ago

We interpret the picture as follows: the joint distribution is uniform on the shaded region. Then the joint density is 4 4 on the shaded region, and 0 0 elsewhere.