Derive the posterior distribution for 1 given (x1, ...,x7) up to a proportional constant.
Derive the posterior distribution for 1 given (x1, ...,x7) up to a proportional constant.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:Derive the posterior distribution for 1 given (x1,... ,xn) up to a proportional constant.

Transcribed Image Text:Suppose we draw an i.i.d. sample X1, ...,X, from a Poisson(1) distribution, where l is a parameter
of unknown value. The pdf of the Poisson(1) distribution is
f(xi)
x;!
Suppose that 2 is treated as a random variable, and the prior distribution for 2 is Gamma, i.c.
1 ~ Gamma(a, B). The prior pdf for 2 is
π(λ)-
- ga-1e-ßA for 1 > 0.
Г(а)
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