Hi my friends,
I was wondering how could I define a random variable in a matrix shape such that:
1 - Let A be such matrix mxn;
2 - Let the row vector B_1xn be another r.v. ;
3 - The data D has the same shape as A, and the likelihood is such that “B*A” is the mean of a multivariate binomial;
Each row of A is a different scenario of the same enviroment and I would like to proceed a joint analysis where each component of B (bi) behaves as a different scale parameter to each scenario (–A_i–).
Thank you guys!