16.8 Consider a Monte Carlo Markov chain constructed with a Metropolis Hastings algorithm, using uniform prior and

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16.8 Consider a Monte Carlo Markov chain constructed with a Metropolis–

Hastings algorithm, using uniform prior and proposal distribution. At a given iteration, the chain is at the point of maximum likelihood or, equivalently,minimum

2. Calculate the probability of acceptance of a candidate that has, respectively,

2 D 1, 2, and 10.

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