Think, Solve, and Learn למדת 0 מתוך 23

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15. The figure below shows a likelihood function and a posterior distribution. Both are Gaussian, with σposterior=1.2 and σlikelihood=1.5. Assume that the prior is also Gaussian. Which of the following statements is true?

(20 נק') - שאלה #22013

The likelihood function is equal to the noise distribution

(20 נק') - שאלה #22014

The value of the stimulus s that maximizes posterior probability is the value of the measurement x

(20 נק') - שאלה #22015

We can estimate the distribution of subject’s responses by multiplying the noise distribution with the prior

(20 נק') - שאלה #22016

If, over the course of an experiment, a Bayesian observer reports one value of the stimulus estimate more often than another value, it means that the prior probability of the former is higher

(20 נק') - שאלה #22017