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If you derived the posterior from the last lecture, for a new predictive value, you would have p(x_new | lambda) p(lambda| x). This would use the posterior vs just a prior, which is generally what you want/need.
Hi, thanks for your comment - yes there are two ways to derive the posterior predictive density. Best, Ben
Thanks a lot!
thanks alot for this video it was very useful for me .could you help me in other types of prior like reference prior and matching prior
I could be wrong but that first term that you called the likelihood doesn't look like the likelihood.
that is not the likelihood you are correct
If you derived the posterior from the last lecture, for a new predictive value, you would have p(x_new | lambda) p(lambda| x). This would use the posterior vs just a prior, which is generally what you want/need.
Hi, thanks for your comment - yes there are two ways to derive the posterior predictive density. Best, Ben
Thanks a lot!
thanks alot for this video it was very useful for me .
could you help me in other types of prior like reference prior and matching prior
I could be wrong but that first term that you called the likelihood doesn't look like the likelihood.
that is not the likelihood you are correct