Suppose that we have data y = (y₁,...,yn). Each data-point is assumed to be generated by a distribution with the following probability density function: p(y; | 4) = 2y; exp(-y?), y₁ ≥ 0, i = 1,..., n. The unknown parameter is, with > 0. A Gamma(a,B) distribution is chosen as the prior distribution for y. Derive the resulting posterior distribution for given y.
Suppose that we have data y = (y₁,...,yn). Each data-point is assumed to be generated by a distribution with the following probability density function: p(y; | 4) = 2y; exp(-y?), y₁ ≥ 0, i = 1,..., n. The unknown parameter is, with > 0. A Gamma(a,B) distribution is chosen as the prior distribution for y. Derive the resulting posterior distribution for given y.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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![Suppose that we have data y = (y₁,..., yn). Each data-point is assumed to be generated by a
distribution with the following probability density function:
p(y; | 4) = 24y; exp(-4y?), y¡ ≥ 0, i = 1,...,n.
The unknown parameter is , with > 0.
A Gamma(a,ß) distribution is chosen as the prior distribution for . Derive the
resulting posterior distribution for given y.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F340eecf6-2dbe-4964-aead-4c55d9744b59%2F534aa165-e5c0-4180-a34e-46bf429bf224%2Fw08cfcm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose that we have data y = (y₁,..., yn). Each data-point is assumed to be generated by a
distribution with the following probability density function:
p(y; | 4) = 24y; exp(-4y?), y¡ ≥ 0, i = 1,...,n.
The unknown parameter is , with > 0.
A Gamma(a,ß) distribution is chosen as the prior distribution for . Derive the
resulting posterior distribution for given y.
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