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Often a probability density depends on a scalar or vector parameter θ in such a way that
is a different probability distribution for each different value of θ. In such cases the likelihood function is a function of θ with x fixed:
This article says a pseudolikelihood is supposed to approximate the likelihood function. But the function identified as the pseudolikelihood is a function of x, not of θ.