Hello, I know if we want to define distribution for a variable which consists of an array of random variables, we can give the ‘shape’ parameter. hx=pm.Normal('hx', mu=0, sd=1, shape=(3,3)) In this case all the random variables will have the same distribution (the same mu and sd). Can I assign di…

[image] jq19978: In this case all the random variables will have the same distribution (the same mu and sd). Can I assign different mu and sd for these 3*3 random variables repectively? something like: mu = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) sigma = np.array([[1, 1, 1], [2, 2, 2], […

How to define a vector-valued variable with different distribution for random its random variables

Questions

jq19978 September 18, 2020, 11:00am 4

Thanks very much! It works!

Topic		Replies	Views
Assign cov in Likelihood of multi-variate Gaussian distribution Questions	4	847	February 5, 2018
Making a vector of variables from a list Questions	5	1258	December 28, 2017
Using shape instead of series of variables Questions	3	484	July 27, 2020
pm.Normal, what is the `shape` parameter for a normal distribution? Questions	4	7988	November 6, 2020
Using shape parameter vs using specifying it using a different model altogether Questions	5	2023	August 29, 2018

How to define a vector-valued variable with different distribution for random its random variables

Related topics