How to calculate probabilities using Bayesian theorem

Dear all,

I would like to calculate the probability of A, given B (p(a|b)) which can be done through the Bayesian theorem: p(a|b)=(p(b|a)/p(b))*p(a).

Im considering that: p(a)=normpdf(A) and p(b)=normpdf(B)

However, I'm not sure how to calculate p(b|a).

Can anoyone give me a hand on this?

Thank you in advance.

[KALYAN ACHARJYA]

Its conditional probability, please refer

https://in.mathworks.com/matlabcentral/answers/349387-how-to-calculate-conditional-probability

[Ricardo Duarte]

I my case I'm not working with vector but with matrices.

[Ive J]

I assume by "working with matrices" you mean each random variable is stored in a different column of the matrix, with rows being the observations. In that case, you still can follow the link above.

[Ricardo Duarte]

I would like to say that each variable is a different matrix (24 x 36).