With the maximum likelihood estimate are we guaranteed to find a global Optima ?

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Maximum likelihood estimate finds that value of parameters that maximize the likelihood. If the likelihood is strictly concave(or negative of likelihood is strictly convex), we are guaranteed to find a unique optimum. This is usually not the case and we end up finding a local optima.

Hence, the Maximum likelihood estimate usually finds a local Minima.

 


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