41 - Proof: Gamma prior is conjugate to Poisson likelihood

[@xochdt]

This was uploaded 7 years ago, yet it's still saving carees. Thank you so much.

[@jemimanamale4447]

At 1:23 should the it be x^a-1? I’m seeing different resources using either x or lambda

[@isyakumuhammad6982]

thank you very much , this is a very clear video. could you please provide me a link the explain an inverse Gaussian distribution with power normal prior. thanks.

[@ediltonbrandao8407]

thnks from Brazil

[@marlonkakurira9931]

Well understood. Many thanks!!!

[@toishiki]

Thank you sooo much!! Very clear!

[@alessandro64484]

hi, i have a question: is it possible to compute the joint distribution of the poisson? π(lambda,X1,...,Xn)?

[@S4N0I1]

i love you for this

[@RobertoMartin1]

That was excellent

[@mashhoodahmad6101]

Dear Sir Please tell how we will deal with if summation (1 to N)(theta -x) as you told summation (1 to N)(X)=N.Xbar

[@choendenkyirong8313]

I think you'd just simplify as such: sum( theta - x_i ) = sum(theta) - sum(x_i) = n*theta - n*xbar = n(theta - xbar)

[@mashhoodahmad6101]

@@choendenkyirong8313 Thankyou so much Sir

[@lemyul]

thakns for sketching out

[@danielmburu6936]

wow thanks so much for the info