tion. 3.27 Assume that Xn, n = 1, 2,..., N, are i.i.d. observations from a Gaussian N(u, o²). Obtain the MAP estimate of u if the prior follows the exponential distribution p(μ) = λexp(-λμ), λ>0,μ20.

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tion.
3.27 Assume that Xn, n = 1, 2,..., N, are i.i.d. observations from a Gaussian N(μ, o2). Obtain the
MAP estimate of u if the prior follows the exponential distribution
p(μ) = λ exp(-μ), 2>0,μ ≥0.
Transcribed Image Text:tion. 3.27 Assume that Xn, n = 1, 2,..., N, are i.i.d. observations from a Gaussian N(μ, o2). Obtain the MAP estimate of u if the prior follows the exponential distribution p(μ) = λ exp(-μ), 2>0,μ ≥0.
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