Likelihood functions are mathematical expressions that quantify how likely a set of parameters is to produce observed data given a specific statistical model. They play a crucial role in statistical inference, as they allow us to estimate parameters by maximizing the likelihood of the observed data. This concept is tightly linked to probability density functions, as likelihood functions often involve evaluating these densities at specific points corresponding to the observed data.
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