Suppose that your prior for is a 2 3 1 3 mixture of N(0, 1) and N(1, 1) and that a single observation x N(, 1) turns out to equal 2 What is your posterior probability that 1 ...

To find the posterior probability that 1 given the observation x 2 we can use Bayes theorem Lets den ...

Suppose that your prior for is a 2/3 : 1/3 mixture of N(0, 1) and N(1,

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Suppose that your prior for θ is a 2/3 : 1/3 mixture of N(0, 1) and N(1, 1) and that a single observation x ~ N(θ, 1) turns out to equal 2. What is your posterior probability that θ > 1?

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Bayesian Statistics An Introduction

ISBN: 9781118332573

4th Edition

Authors: Peter M. Lee

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Suppose that your prior for is a 2/3 : 1/3 mixture of N(0, 1) and N(1,

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Bayesian Statistics An Introduction

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