Provide constraints that achieve the same guarantee

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Reference no: EM131855065

Problem

a. Consider the task of estimating the parameters of a univariate Gaussian distribution N µ; σ² from a data set D. Show that if we maximize likelihood subject to the constraint σ² ≥ ? for some ? > 0, then the likelihood L(µ, σ² : D) is guaranteed to remain bounded.

b. Now, consider estimating the parameters of a multivariate Gaussian N (µ; Σ) from a data set D. Provide constraints on Σ that achieve the same guarantee.

Reference no: EM131855065

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