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Given a random variable $X$ which arise from a parameterized distribution $F(X;θ)$, the likelihood is defined as proportional to the probability of observed data as a function of $θ$: $\operatorname{L}(θ | x)=\operatorname{P}(X=x \mid θ)$

7 votes

Why is the Likelihood function NOT a case of the inverse fallacy?

It's defining the likelihood function. …
Daniel Ezra Johnson's user avatar