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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?

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The likelihood function is equal to the noise distribution

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

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

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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

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18. An observer combines cues A and B. When B becomes more reliable, the observer’s estimate will

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In modeling speech recognition, the sound and the image can be assumed to be independent of each other

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Conflicts between two measurements generated by a single source do not normally occur in the natural world

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22. Camouflage works by?

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25. Do each of the following represent variability (many trials) or uncertainty (single trial)?

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