Yes, that's the right likelihood function. To get probabilities distributions out of the products in the post, all you have to do is normalize them. That would be equivalent to applying bayes rule and combining independent evidence about a parameter with an uninformative prior. Normalizing doesn't change the shapes, so I left out the details.
