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11. Call x the data, m the parameter, l the likelihood, k the prior and f the marginal law of x. The posterior p writes:A. p(m|x) = l(x|m) * k(m) / f(x)B. p(m) = l(x|m) * f(x) / k(m)C. p(x|m) = l(m)*f(x|m)/k(m)
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